Udemy - MLOps Bootcamp Mastering AI Operations for Success - AIOps (7.2024)

文件列表

• 01 - Introduction to Complete MLOps Bootcamp/001 What and Why MLOps.mp482.9 MB
• 01 - Introduction to Complete MLOps Bootcamp/001 What and Why MLOps.srt4.9 KB
• 01 - Introduction to Complete MLOps Bootcamp/002 What and Why MLOps.html9.3 KB
• 01 - Introduction to Complete MLOps Bootcamp/003 The Stages of MLOps.mp4136.3 MB
• 01 - Introduction to Complete MLOps Bootcamp/003 The Stages of MLOps.srt9.1 KB
• 01 - Introduction to Complete MLOps Bootcamp/004 Stages of MLOps.html9.2 KB
• 01 - Introduction to Complete MLOps Bootcamp/005 Github-Link.url85 B
• 01 - Introduction to Complete MLOps Bootcamp/005 Source code for this course.html114 B
• 01 - Introduction to Complete MLOps Bootcamp/006 Slide Download Link.html93 B
• 01 - Introduction to Complete MLOps Bootcamp/006 Slide-Download-Link.url80 B
• 01 - Introduction to Complete MLOps Bootcamp/external-links.txt167 B
• 02 - Python for MLOps/001 About the Section.mp45.1 MB
• 02 - Python for MLOps/001 About the Section.srt2.3 KB
• 02 - Python for MLOps/002 Python Quiz.html19.6 KB
• 02 - Python for MLOps/003 Introduction to Python Programming.mp414.8 MB
• 02 - Python for MLOps/003 Introduction to Python Programming.srt7.2 KB
• 02 - Python for MLOps/004 Install Anaconda.mp413.1 MB
• 02 - Python for MLOps/004 Install Anaconda.srt3.3 KB
• 02 - Python for MLOps/005 Hello World - Python.mp431.1 MB
• 02 - Python for MLOps/005 Hello World - Python.srt5.4 KB
• 02 - Python for MLOps/006 Jupyter Lab Quick Tour.mp421.8 MB
• 02 - Python for MLOps/006 Jupyter Lab Quick Tour.srt8.0 KB
• 02 - Python for MLOps/007 Variables in Python.mp46.1 MB
• 02 - Python for MLOps/007 Variables in Python.srt5.0 KB
• 02 - Python for MLOps/008 Variables in Python.html8.7 KB
• 02 - Python for MLOps/009 Variables - Comments - Markdown Cells - Hands On.mp427.0 MB
• 02 - Python for MLOps/009 Variables - Comments - Markdown Cells - Hands On.srt14.5 KB
• 02 - Python for MLOps/010 Python Literals - Hands On.mp445.8 MB
• 02 - Python for MLOps/010 Python Literals - Hands On.srt13.0 KB
• 02 - Python for MLOps/011 Operators in Python Programming Language.mp452.5 MB
• 02 - Python for MLOps/011 Operators in Python Programming Language.srt13.1 KB
• 02 - Python for MLOps/012 Collection - Strings.mp458.7 MB
• 02 - Python for MLOps/012 Collection - Strings.srt15.7 KB
• 02 - Python for MLOps/013 Python String - Builtin Functions - Hands On.mp425.0 MB
• 02 - Python for MLOps/013 Python String - Builtin Functions - Hands On.srt5.5 KB
• 02 - Python for MLOps/014 Data Structures - List.mp436.7 MB
• 02 - Python for MLOps/014 Data Structures - List.srt10.8 KB
• 02 - Python for MLOps/015 Data Structures - Tuples.mp421.7 MB
• 02 - Python for MLOps/015 Data Structures - Tuples.srt5.4 KB
• 02 - Python for MLOps/016 Data Structures - Dictionary.mp415.0 MB
• 02 - Python for MLOps/016 Data Structures - Dictionary.srt6.3 KB
• 02 - Python for MLOps/017 Data Structures - Sets.mp419.9 MB
• 02 - Python for MLOps/017 Data Structures - Sets.srt4.9 KB
• 02 - Python for MLOps/018 Explicit and Implicit Casting in Python Programming.mp412.3 MB
• 02 - Python for MLOps/018 Explicit and Implicit Casting in Python Programming.srt6.4 KB
• 02 - Python for MLOps/019 Reading the Input from Keyboard.mp416.3 MB
• 02 - Python for MLOps/019 Reading the Input from Keyboard.srt4.9 KB
• 02 - Python for MLOps/020 String Formatting.mp414.8 MB
• 02 - Python for MLOps/020 String Formatting.srt6.4 KB
• 02 - Python for MLOps/021 Control Statements - Conditional Statements in Python.mp419.8 MB
• 02 - Python for MLOps/021 Control Statements - Conditional Statements in Python.srt7.9 KB
• 02 - Python for MLOps/022 Control Statements - Looping Statements.mp434.5 MB
• 02 - Python for MLOps/022 Control Statements - Looping Statements.srt16.7 KB
• 02 - Python for MLOps/023 List comprehension.mp414.5 MB
• 02 - Python for MLOps/023 List comprehension.srt5.6 KB
• 02 - Python for MLOps/024 Functions.mp440.9 MB
• 02 - Python for MLOps/024 Functions.srt13.7 KB
• 02 - Python for MLOps/025 Modules in Python.mp413.6 MB
• 02 - Python for MLOps/025 Modules in Python.srt6.3 KB
• 02 - Python for MLOps/026 Classes in Python.mp429.3 MB
• 02 - Python for MLOps/026 Classes in Python.srt8.9 KB
• 02 - Python for MLOps/027 File Handling in Python.mp443.0 MB
• 02 - Python for MLOps/027 File Handling in Python.srt10.0 KB
• 02 - Python for MLOps/028 Working with Python Scripts.mp47.4 MB
• 02 - Python for MLOps/028 Working with Python Scripts.srt3.4 KB
• 02 - Python for MLOps/029 Libraries in Python.mp48.5 MB
• 02 - Python for MLOps/029 Libraries in Python.srt3.4 KB
• 03 - Git and Github Fundamentals for MLOps/001 Introduction to Version Control Systems.mp434.7 MB
• 03 - Git and Github Fundamentals for MLOps/001 Introduction to Version Control Systems.srt13.0 KB
• 03 - Git and Github Fundamentals for MLOps/002 Getting Started with git.mp457.2 MB
• 03 - Git and Github Fundamentals for MLOps/002 Getting Started with git.srt8.3 KB
• 03 - Git and Github Fundamentals for MLOps/003 Local Repo vs Remote Repo.mp426.8 MB
• 03 - Git and Github Fundamentals for MLOps/003 Local Repo vs Remote Repo.srt6.0 KB
• 03 - Git and Github Fundamentals for MLOps/004 Git Configurations.mp426.0 MB
• 03 - Git and Github Fundamentals for MLOps/004 Git Configurations.srt7.9 KB
• 03 - Git and Github Fundamentals for MLOps/005 Getting Started with Local Repo.mp450.4 MB
• 03 - Git and Github Fundamentals for MLOps/005 Getting Started with Local Repo.srt10.3 KB
• 03 - Git and Github Fundamentals for MLOps/006 Concept of Working Directory - Staging Area - Commit.mp426.0 MB
• 03 - Git and Github Fundamentals for MLOps/006 Concept of Working Directory - Staging Area - Commit.srt9.1 KB
• 03 - Git and Github Fundamentals for MLOps/007 Git Workflow - Local Repo.mp462.7 MB
• 03 - Git and Github Fundamentals for MLOps/007 Git Workflow - Local Repo.srt14.7 KB
• 03 - Git and Github Fundamentals for MLOps/008 Git Branch.mp493.9 MB
• 03 - Git and Github Fundamentals for MLOps/008 Git Branch.srt17.0 KB
• 03 - Git and Github Fundamentals for MLOps/009 Switching the Branches.mp455.0 MB
• 03 - Git and Github Fundamentals for MLOps/009 Switching the Branches.srt11.2 KB
• 03 - Git and Github Fundamentals for MLOps/010 Merging.mp472.0 MB
• 03 - Git and Github Fundamentals for MLOps/010 Merging.srt11.1 KB
• 03 - Git and Github Fundamentals for MLOps/011 Checking Out Commits.mp454.2 MB
• 03 - Git and Github Fundamentals for MLOps/011 Checking Out Commits.srt11.3 KB
• 03 - Git and Github Fundamentals for MLOps/012 Git Hosting Services.mp434.0 MB
• 03 - Git and Github Fundamentals for MLOps/012 Git Hosting Services.srt7.2 KB
• 03 - Git and Github Fundamentals for MLOps/013 Working with Remote Repositories.mp454.5 MB
• 03 - Git and Github Fundamentals for MLOps/013 Working with Remote Repositories.srt16.5 KB
• 03 - Git and Github Fundamentals for MLOps/014 Cloning and Delete Branches.mp455.8 MB
• 03 - Git and Github Fundamentals for MLOps/014 Cloning and Delete Branches.srt9.8 KB
• 03 - Git and Github Fundamentals for MLOps/015 3 way merge.mp470.7 MB
• 03 - Git and Github Fundamentals for MLOps/015 3 way merge.srt13.7 KB
• 03 - Git and Github Fundamentals for MLOps/016 Summary.mp411.2 MB
• 03 - Git and Github Fundamentals for MLOps/016 Summary.srt3.8 KB
• 04 - Crash Course on YAML/001 YAML Crash Course.mp491.8 MB
• 04 - Crash Course on YAML/001 YAML Crash Course.srt30.0 KB
• 05 - Packaging the ML Models/001 Introduction to Packaging the ML Models.mp447.4 MB
• 05 - Packaging the ML Models/001 Introduction to Packaging the ML Models.srt7.8 KB
• 05 - Packaging the ML Models/002 Typical Experimentation with Dataset.mp4176.9 MB
• 05 - Packaging the ML Models/002 Typical Experimentation with Dataset.srt37.9 KB
• 05 - Packaging the ML Models/003 Model fit and generate Predictions.mp417.0 MB
• 05 - Packaging the ML Models/003 Model fit and generate Predictions.srt5.9 KB
• 05 - Packaging the ML Models/004 Challenges in Working inside the Jupyter Notebook.mp4115.6 MB
• 05 - Packaging the ML Models/004 Challenges in Working inside the Jupyter Notebook.srt31.6 KB
• 05 - Packaging the ML Models/005 Understanding the Modular Programming.mp4106.6 MB
• 05 - Packaging the ML Models/005 Understanding the Modular Programming.srt24.7 KB
• 05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.mp4100.7 MB
• 05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.srt23.2 KB
• 05 - Packaging the ML Models/007 Create Config Module.mp4166.1 MB
• 05 - Packaging the ML Models/007 Create Config Module.srt29.7 KB
• 05 - Packaging the ML Models/008 Data Handling Module.mp461.4 MB
• 05 - Packaging the ML Models/008 Data Handling Module.srt10.5 KB
• 05 - Packaging the ML Models/009 Data Preprocessing part 1.mp4167.4 MB
• 05 - Packaging the ML Models/009 Data Preprocessing part 1.srt33.4 KB
• 05 - Packaging the ML Models/010 Data Preprocessing part 2.mp423.1 MB
• 05 - Packaging the ML Models/010 Data Preprocessing part 2.srt4.5 KB
• 05 - Packaging the ML Models/011 sklearn pipeline.mp499.3 MB
• 05 - Packaging the ML Models/011 sklearn pipeline.srt16.3 KB
• 05 - Packaging the ML Models/012 Training Pipeline.mp480.0 MB
• 05 - Packaging the ML Models/012 Training Pipeline.srt14.0 KB
• 05 - Packaging the ML Models/013 Prediction Pipeline.mp444.0 MB
• 05 - Packaging the ML Models/013 Prediction Pipeline.srt11.7 KB
• 05 - Packaging the ML Models/014 Fixes on Python Scripts.mp425.0 MB
• 05 - Packaging the ML Models/014 Fixes on Python Scripts.srt5.5 KB
• 05 - Packaging the ML Models/015 Add Python Path to MacOS.mp414.3 MB
• 05 - Packaging the ML Models/015 Add Python Path to MacOS.srt4.7 KB
• 05 - Packaging the ML Models/016 Add Python Path to Windows.mp418.1 MB
• 05 - Packaging the ML Models/016 Add Python Path to Windows.srt4.9 KB
• 05 - Packaging the ML Models/017 No module named prediction_model - fix.mp418.6 MB
• 05 - Packaging the ML Models/017 No module named prediction_model - fix.srt3.9 KB
• 05 - Packaging the ML Models/018 Perform Training and Predictions.mp427.9 MB
• 05 - Packaging the ML Models/018 Perform Training and Predictions.srt4.7 KB
• 05 - Packaging the ML Models/019 Requirements txt file.mp442.6 MB
• 05 - Packaging the ML Models/019 Requirements txt file.srt7.8 KB
• 05 - Packaging the ML Models/020 Testing the New Virtual Environments.mp414.4 MB
• 05 - Packaging the ML Models/020 Testing the New Virtual Environments.srt7.3 KB
• 05 - Packaging the ML Models/021 Create Python tests.mp442.5 MB
• 05 - Packaging the ML Models/021 Create Python tests.srt19.0 KB
• 05 - Packaging the ML Models/022 Running Pytest.mp460.0 MB
• 05 - Packaging the ML Models/022 Running Pytest.srt9.4 KB
• 05 - Packaging the ML Models/023 Create Manifest file.mp430.0 MB
• 05 - Packaging the ML Models/023 Create Manifest file.srt7.2 KB
• 05 - Packaging the ML Models/024 Create Version File.mp410.2 MB
• 05 - Packaging the ML Models/024 Create Version File.srt4.4 KB
• 05 - Packaging the ML Models/025 Create setup.py.mp484.5 MB
• 05 - Packaging the ML Models/025 Create setup.py.srt12.3 KB
• 05 - Packaging the ML Models/026 Packagiing the ML Model & testing.mp4132.5 MB
• 05 - Packaging the ML Models/026 Packagiing the ML Model & testing.srt22.5 KB
• 05 - Packaging the ML Models/027 Summary.mp440.8 MB
• 05 - Packaging the ML Models/027 Summary.srt7.3 KB
• 06 - Mlflow - Manage ML experiments/001 Introduction to Mlflow.mp457.0 MB
• 06 - Mlflow - Manage ML experiments/001 Introduction to Mlflow.srt14.8 KB
• 06 - Mlflow - Manage ML experiments/002 Getting System Ready with mlflow.mp434.5 MB
• 06 - Mlflow - Manage ML experiments/002 Getting System Ready with mlflow.srt8.3 KB
• 06 - Mlflow - Manage ML experiments/003 Logging Functions of Mlflow Tracking.mp477.6 MB
• 06 - Mlflow - Manage ML experiments/003 Logging Functions of Mlflow Tracking.srt15.4 KB
• 06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.mp4129.4 MB
• 06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.srt25.4 KB
• 06 - Mlflow - Manage ML experiments/005 Exploration of mlflow.mp449.9 MB
• 06 - Mlflow - Manage ML experiments/005 Exploration of mlflow.srt10.7 KB
• 06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.mp4140.2 MB
• 06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.srt26.4 KB
• 06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.mp491.4 MB
• 06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.srt15.5 KB
• 06 - Mlflow - Manage ML experiments/008 MLFlow Project.mp4152.1 MB
• 06 - Mlflow - Manage ML experiments/008 MLFlow Project.srt28.4 KB
• 06 - Mlflow - Manage ML experiments/009 MLFlow Models.mp4102.7 MB
• 06 - Mlflow - Manage ML experiments/009 MLFlow Models.srt21.9 KB
• 06 - Mlflow - Manage ML experiments/010 Setting Up MySql Database Locally.mp441.5 MB
• 06 - Mlflow - Manage ML experiments/010 Setting Up MySql Database Locally.srt11.2 KB
• 06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.mp4124.6 MB
• 06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.srt23.6 KB
• 06 - Mlflow - Manage ML experiments/012 Register the Model & Serve the Model.mp481.6 MB
• 06 - Mlflow - Manage ML experiments/012 Register the Model & Serve the Model.srt24.6 KB
• 06 - Mlflow - Manage ML experiments/013 Summary.mp48.6 MB
• 06 - Mlflow - Manage ML experiments/013 Summary.srt2.8 KB
• 07 - Docker for Machine Learning/001 Docker for Machine Learning.mp418.1 MB
• 07 - Docker for Machine Learning/001 Docker for Machine Learning.srt5.5 KB
• 07 - Docker for Machine Learning/002 Introduction to Docker.mp4137.6 MB
• 07 - Docker for Machine Learning/002 Introduction to Docker.srt34.2 KB
• 07 - Docker for Machine Learning/003 Installation of Docker Desktop.mp429.5 MB
• 07 - Docker for Machine Learning/003 Installation of Docker Desktop.srt0 B
• 07 - Docker for Machine Learning/004 Working with Docker.mp4130.4 MB
• 07 - Docker for Machine Learning/004 Working with Docker.srt24.6 KB
• 07 - Docker for Machine Learning/005 Running the Docker Container.mp481.4 MB
• 07 - Docker for Machine Learning/005 Running the Docker Container.srt12.6 KB
• 07 - Docker for Machine Learning/006 Working with Dockerfile.mp489.5 MB
• 07 - Docker for Machine Learning/006 Working with Dockerfile.srt14.9 KB
• 07 - Docker for Machine Learning/007 Push the Docker Image to DockerHub.mp422.2 MB
• 07 - Docker for Machine Learning/007 Push the Docker Image to DockerHub.srt4.3 KB
• 07 - Docker for Machine Learning/008 Dockerize the ML Model.mp495.5 MB
• 07 - Docker for Machine Learning/008 Dockerize the ML Model.srt15.2 KB
• 07 - Docker for Machine Learning/009 Packaging the training code in Docker Environment & Summary.mp468.5 MB
• 07 - Docker for Machine Learning/009 Packaging the training code in Docker Environment & Summary.srt10.9 KB
• 08 - Build MLApps using FastAPI/001 What is API, REST and REST API.mp447.8 MB
• 08 - Build MLApps using FastAPI/001 What is API, REST and REST API.srt8.6 KB
• 08 - Build MLApps using FastAPI/002 How REST API Works.mp472.9 MB
• 08 - Build MLApps using FastAPI/002 How REST API Works.srt16.9 KB
• 08 - Build MLApps using FastAPI/003 What is FastAPI.mp432.2 MB
• 08 - Build MLApps using FastAPI/003 What is FastAPI.srt6.3 KB
• 08 - Build MLApps using FastAPI/004 Crash course on FastAPI.mp4122.3 MB
• 08 - Build MLApps using FastAPI/004 Crash course on FastAPI.srt31.5 KB
• 08 - Build MLApps using FastAPI/005 Data Validation with Pydantic.mp418.6 MB
• 08 - Build MLApps using FastAPI/005 Data Validation with Pydantic.srt9.0 KB
• 08 - Build MLApps using FastAPI/006 Deploying the Machine Learning Model with FastAPI.mp470.8 MB
• 08 - Build MLApps using FastAPI/006 Deploying the Machine Learning Model with FastAPI.srt12.6 KB
• 09 - Build MLApps using Streamlit/001 Introduction to Streamit.mp418.7 MB
• 09 - Build MLApps using Streamlit/001 Introduction to Streamit.srt5.2 KB
• 09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.mp4107.0 MB
• 09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.srt26.0 KB
• 09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.mp4330.0 MB
• 09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.srt47.9 KB
• 10 - Build MLApps using Flask/001 What is Flask.mp48.2 MB
• 10 - Build MLApps using Flask/001 What is Flask.srt3.4 KB
• 10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.mp4123.9 MB
• 10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.srt28.9 KB
• 10 - Build MLApps using Flask/003 Build ML Model App with Flask.mp4104.2 MB
• 10 - Build MLApps using Flask/003 Build ML Model App with Flask.srt16.8 KB
• 11 - Lnux Operating System for DevOps and Data Scientists/001 Agenda of this section.mp43.4 MB
• 11 - Lnux Operating System for DevOps and Data Scientists/001 Agenda of this section.srt2.5 KB
• 11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.mp4132.4 MB
• 11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.srt27.0 KB
• 11 - Lnux Operating System for DevOps and Data Scientists/003 How to Launch EC2 Instances (Quick Refresh).mp426.7 MB
• 11 - Lnux Operating System for DevOps and Data Scientists/003 How to Launch EC2 Instances (Quick Refresh).srt8.8 KB
• 11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.mp4566.8 MB
• 11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.srt138.9 KB
• 12 - Working with CI CD Tool Jenkins/001 Introduction to Jenkins.mp487.3 MB
• 12 - Working with CI CD Tool Jenkins/001 Introduction to Jenkins.srt20.2 KB
• 12 - Working with CI CD Tool Jenkins/002 How do we Use Jenkins in MLOps.mp48.2 MB
• 12 - Working with CI CD Tool Jenkins/002 How do we Use Jenkins in MLOps.srt6.3 KB
• 12 - Working with CI CD Tool Jenkins/003 Prepare and Package ML Model.mp451.2 MB
• 12 - Working with CI CD Tool Jenkins/003 Prepare and Package ML Model.srt11.8 KB
• 12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.mp4141.4 MB
• 12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.srt26.2 KB
• 12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.mp496.8 MB
• 12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.srt14.5 KB
• 12 - Working with CI CD Tool Jenkins/006 Create Dockerfile.mp421.3 MB
• 12 - Working with CI CD Tool Jenkins/006 Create Dockerfile.srt7.9 KB
• 12 - Working with CI CD Tool Jenkins/007 Exposing the Application Port as per Dockerfile.mp47.4 MB
• 12 - Working with CI CD Tool Jenkins/007 Exposing the Application Port as per Dockerfile.srt2.1 KB
• 12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.mp4100.5 MB
• 12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.srt15.3 KB
• 12 - Working with CI CD Tool Jenkins/009 Installation of Jenkins on AWS EC2 Instances.mp484.2 MB
• 12 - Working with CI CD Tool Jenkins/009 Installation of Jenkins on AWS EC2 Instances.srt15.7 KB
• 12 - Working with CI CD Tool Jenkins/010 Installation of Docker in EC2 Instance.mp440.7 MB
• 12 - Working with CI CD Tool Jenkins/010 Installation of Docker in EC2 Instance.srt7.4 KB
• 12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.mp4133.6 MB
• 12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.srt26.6 KB
• 12 - Working with CI CD Tool Jenkins/012 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.mp416.4 MB
• 12 - Working with CI CD Tool Jenkins/012 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.srt5.5 KB
• 12 - Working with CI CD Tool Jenkins/013 Exploration of Jenkins UI.mp47.1 MB
• 12 - Working with CI CD Tool Jenkins/013 Exploration of Jenkins UI.srt5.1 KB
• 12 - Working with CI CD Tool Jenkins/014 Create your first First Jenkins Project.mp417.4 MB
• 12 - Working with CI CD Tool Jenkins/014 Create your first First Jenkins Project.srt7.4 KB
• 12 - Working with CI CD Tool Jenkins/015 Test Github Webhook with Jenkins.mp4100.2 MB
• 12 - Working with CI CD Tool Jenkins/015 Test Github Webhook with Jenkins.srt20.9 KB
• 12 - Working with CI CD Tool Jenkins/016 Installation of Docker Plugin & System Readiness.mp464.7 MB
• 12 - Working with CI CD Tool Jenkins/016 Installation of Docker Plugin & System Readiness.srt14.6 KB
• 12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.mp4101.0 MB
• 12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.srt17.4 KB
• 12 - Working with CI CD Tool Jenkins/018 Introduction to CI CT CD Pipeline.mp47.1 MB
• 12 - Working with CI CD Tool Jenkins/018 Introduction to CI CT CD Pipeline.srt2.9 KB
• 12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.mp4131.8 MB
• 12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.srt21.1 KB
• 12 - Working with CI CD Tool Jenkins/020 Create CI CT CD Pipeline - Training.mp454.3 MB
• 12 - Working with CI CD Tool Jenkins/020 Create CI CT CD Pipeline - Training.srt11.1 KB
• 12 - Working with CI CD Tool Jenkins/021 Create CI CT CD Pipeline - Testing.mp443.2 MB
• 12 - Working with CI CD Tool Jenkins/021 Create CI CT CD Pipeline - Testing.srt7.5 KB
• 12 - Working with CI CD Tool Jenkins/022 Create CI CT CD Pipeline - Deployment.mp443.5 MB
• 12 - Working with CI CD Tool Jenkins/022 Create CI CT CD Pipeline - Deployment.srt7.9 KB
• 12 - Working with CI CD Tool Jenkins/023 Perform Test of Pipeline.mp423.1 MB
• 12 - Working with CI CD Tool Jenkins/023 Perform Test of Pipeline.srt4.0 KB
• 12 - Working with CI CD Tool Jenkins/024 Summary.mp431.0 MB
• 12 - Working with CI CD Tool Jenkins/024 Summary.srt8.3 KB
• 13 - Monitoring and Debugging of ML System/001 Why Monitoring Machine Learning Models is Important.mp428.5 MB
• 13 - Monitoring and Debugging of ML System/001 Why Monitoring Machine Learning Models is Important.srt5.3 KB
• 13 - Monitoring and Debugging of ML System/002 What is Monitoring of ML models & When to Update Model in Production.mp410.6 MB
• 13 - Monitoring and Debugging of ML System/002 What is Monitoring of ML models & When to Update Model in Production.srt4.0 KB
• 13 - Monitoring and Debugging of ML System/003 Why Monitoring Machine Learning Models is Difficult.mp443.2 MB
• 13 - Monitoring and Debugging of ML System/003 Why Monitoring Machine Learning Models is Difficult.srt15.2 KB
• 13 - Monitoring and Debugging of ML System/004 Challenge - Who Owns what.mp424.8 MB
• 13 - Monitoring and Debugging of ML System/004 Challenge - Who Owns what.srt6.5 KB
• 13 - Monitoring and Debugging of ML System/005 Functional Level Monitoring.mp449.4 MB
• 13 - Monitoring and Debugging of ML System/005 Functional Level Monitoring.srt17.0 KB
• 13 - Monitoring and Debugging of ML System/006 Model Drift.mp433.6 MB
• 13 - Monitoring and Debugging of ML System/006 Model Drift.srt13.4 KB
• 13 - Monitoring and Debugging of ML System/007 Operational Level Monitoring.mp411.7 MB
• 13 - Monitoring and Debugging of ML System/007 Operational Level Monitoring.srt4.3 KB
• 13 - Monitoring and Debugging of ML System/008 Tools and Best Practices of Machine Learning Model Monitoring.mp48.3 MB
• 13 - Monitoring and Debugging of ML System/008 Tools and Best Practices of Machine Learning Model Monitoring.srt4.0 KB
• 14 - Continuous Monitoring with Prometheus/001 Introduction to Continuous Monitoring.mp448.0 MB
• 14 - Continuous Monitoring with Prometheus/001 Introduction to Continuous Monitoring.srt10.9 KB
• 14 - Continuous Monitoring with Prometheus/002 Use case on Continuous Monitoring.mp410.9 MB
• 14 - Continuous Monitoring with Prometheus/002 Use case on Continuous Monitoring.srt4.6 KB
• 14 - Continuous Monitoring with Prometheus/003 Introduction to Prometheus.mp410.2 MB
• 14 - Continuous Monitoring with Prometheus/003 Introduction to Prometheus.srt5.7 KB
• 14 - Continuous Monitoring with Prometheus/004 Architecture of Prometheus.mp463.5 MB
• 14 - Continuous Monitoring with Prometheus/004 Architecture of Prometheus.srt15.5 KB
• 14 - Continuous Monitoring with Prometheus/005 Metric Types of Prometheus.mp413.1 MB
• 14 - Continuous Monitoring with Prometheus/005 Metric Types of Prometheus.srt5.3 KB
• 14 - Continuous Monitoring with Prometheus/006 Installation of Prometheus.mp4113.9 MB
• 14 - Continuous Monitoring with Prometheus/006 Installation of Prometheus.srt20.2 KB
• 14 - Continuous Monitoring with Prometheus/007 Introduction Grafana.mp44.0 MB
• 14 - Continuous Monitoring with Prometheus/007 Introduction Grafana.srt2.7 KB
• 14 - Continuous Monitoring with Prometheus/008 Installation of Grafana.mp438.0 MB
• 14 - Continuous Monitoring with Prometheus/008 Installation of Grafana.srt6.9 KB
• 14 - Continuous Monitoring with Prometheus/009 Prometheus Configuration file.mp474.6 MB
• 14 - Continuous Monitoring with Prometheus/009 Prometheus Configuration file.srt9.8 KB
• 14 - Continuous Monitoring with Prometheus/010 Exploring the Basic Querying Prometheus.mp463.3 MB
• 14 - Continuous Monitoring with Prometheus/010 Exploring the Basic Querying Prometheus.srt10.5 KB
• 14 - Continuous Monitoring with Prometheus/011 Monitor the Infrastructure with Prometheus.mp420.3 MB
• 14 - Continuous Monitoring with Prometheus/011 Monitor the Infrastructure with Prometheus.srt3.5 KB
• 14 - Continuous Monitoring with Prometheus/012 Monitor the Linux Server with Node Exporter.mp490.2 MB
• 14 - Continuous Monitoring with Prometheus/012 Monitor the Linux Server with Node Exporter.srt13.8 KB
• 14 - Continuous Monitoring with Prometheus/013 Monitor the Client Application using Prometheus.mp424.7 MB
• 14 - Continuous Monitoring with Prometheus/013 Monitor the Client Application using Prometheus.srt5.7 KB
• 14 - Continuous Monitoring with Prometheus/014 Monitor the FastAPI Application using Prometheus.mp4104.7 MB
• 14 - Continuous Monitoring with Prometheus/014 Monitor the FastAPI Application using Prometheus.srt14.1 KB
• 14 - Continuous Monitoring with Prometheus/015 Monitor All EndPoints using Prometheus.mp456.9 MB
• 14 - Continuous Monitoring with Prometheus/015 Monitor All EndPoints using Prometheus.srt10.9 KB
• 14 - Continuous Monitoring with Prometheus/016 Create Visualization with Grafana.mp444.3 MB
• 14 - Continuous Monitoring with Prometheus/016 Create Visualization with Grafana.srt23.0 KB
• 14 - Continuous Monitoring with Prometheus/017 Trigger Alerts with Grafana.mp4100.3 MB
• 14 - Continuous Monitoring with Prometheus/017 Trigger Alerts with Grafana.srt18.0 KB
• 15 - Deploy Applications with Docker Compose/001 Introduction to Docker Compose.mp413.2 MB
• 15 - Deploy Applications with Docker Compose/001 Introduction to Docker Compose.srt5.2 KB
• 15 - Deploy Applications with Docker Compose/002 Hands On - Docker Compose with Flask Application.mp4148.8 MB
• 15 - Deploy Applications with Docker Compose/002 Hands On - Docker Compose with Flask Application.srt28.8 KB
• 15 - Deploy Applications with Docker Compose/003 Hands On - Docker Compose Prometheus Grafana.mp4133.8 MB
• 15 - Deploy Applications with Docker Compose/003 Hands On - Docker Compose Prometheus Grafana.srt21.1 KB
• 16 - Continuous Monitoring of Machine Learning Application/001 Architecture of ML Application Monitoring.mp431.4 MB
• 16 - Continuous Monitoring of Machine Learning Application/001 Architecture of ML Application Monitoring.srt6.8 KB
• 16 - Continuous Monitoring of Machine Learning Application/002 Hands On Monitoring of ML Application using Prometheus.mp4126.1 MB
• 16 - Continuous Monitoring of Machine Learning Application/002 Hands On Monitoring of ML Application using Prometheus.srt20.1 KB
• 17 - Monitor the ML System with WhyLogs/001 Introduction to ML Monitoring.mp446.8 MB
• 17 - Monitor the ML System with WhyLogs/001 Introduction to ML Monitoring.srt16.6 KB
• 17 - Monitor the ML System with WhyLogs/002 Setting Up WhyLabs.mp411.6 MB
• 17 - Monitor the ML System with WhyLogs/002 Setting Up WhyLabs.srt2.4 KB
• 17 - Monitor the ML System with WhyLogs/003 Whylogs - Drift Detection, Input, Output, Bias Monitoring.mp4384.7 MB
• 17 - Monitor the ML System with WhyLogs/003 Whylogs - Drift Detection, Input, Output, Bias Monitoring.srt64.7 KB
• 17 - Monitor the ML System with WhyLogs/004 WhyLogs - Constraints and Drift Reports.mp464.6 MB
• 17 - Monitor the ML System with WhyLogs/004 WhyLogs - Constraints and Drift Reports.srt14.3 KB
• 17 - Monitor the ML System with WhyLogs/005 Summary.mp412.3 MB
• 17 - Monitor the ML System with WhyLogs/005 Summary.srt3.8 KB
• 18 - Post Productionizing ML Models/001 Post-Productionalizing ML Models - What Next.mp411.5 MB
• 18 - Post Productionizing ML Models/001 Post-Productionalizing ML Models - What Next.srt6.3 KB
• 18 - Post Productionizing ML Models/002 Model Security.mp45.9 MB
• 18 - Post Productionizing ML Models/002 Model Security.srt2.9 KB
• 18 - Post Productionizing ML Models/003 Adversarial Attack.mp47.1 MB
• 18 - Post Productionizing ML Models/003 Adversarial Attack.srt4.0 KB
• 18 - Post Productionizing ML Models/004 Data Poisoning Attack.mp42.1 MB
• 18 - Post Productionizing ML Models/004 Data Poisoning Attack.srt1.3 KB
• 18 - Post Productionizing ML Models/005 Distributed Denial of Service Attack (DDOS).mp44.1 MB
• 18 - Post Productionizing ML Models/005 Distributed Denial of Service Attack (DDOS).srt1.1 KB
• 18 - Post Productionizing ML Models/006 Data Privacy Attack.mp43.8 MB
• 18 - Post Productionizing ML Models/006 Data Privacy Attack.srt2.1 KB
• 18 - Post Productionizing ML Models/007 How to Mitigate Risk of Model Attacks.mp410.3 MB
• 18 - Post Productionizing ML Models/007 How to Mitigate Risk of Model Attacks.srt3.9 KB
• 18 - Post Productionizing ML Models/008 AB Testing.mp417.0 MB
• 18 - Post Productionizing ML Models/008 AB Testing.srt5.1 KB
• 18 - Post Productionizing ML Models/009 Future of MLOps.mp47.0 MB
• 18 - Post Productionizing ML Models/009 Future of MLOps.srt4.2 KB
• 19 - Reference Getting Started with AWS/001 What do we cover in this section.mp44.2 MB
• 19 - Reference Getting Started with AWS/001 What do we cover in this section.srt2.8 KB
• 19 - Reference Getting Started with AWS/002 Create AWS Account.mp438.9 MB
• 19 - Reference Getting Started with AWS/002 Create AWS Account.srt6.3 KB
• 19 - Reference Getting Started with AWS/003 Setting up MFA on Root Account.mp430.7 MB
• 19 - Reference Getting Started with AWS/003 Setting up MFA on Root Account.srt11.9 KB
• 19 - Reference Getting Started with AWS/004 Create IAM Account and Account Alias.mp450.0 MB
• 19 - Reference Getting Started with AWS/004 Create IAM Account and Account Alias.srt9.5 KB
• 19 - Reference Getting Started with AWS/005 Setup CLI with Credentials.mp430.0 MB
• 19 - Reference Getting Started with AWS/005 Setup CLI with Credentials.srt6.7 KB
• 19 - Reference Getting Started with AWS/006 IAM Policy.mp415.7 MB
• 19 - Reference Getting Started with AWS/007 IAM Policy generator & attachment.mp456.1 MB
• 19 - Reference Getting Started with AWS/008 Delete the IAM User.mp43.9 MB
• 19 - Reference Getting Started with AWS/008 Delete the IAM User.srt1.7 KB
• 19 - Reference Getting Started with AWS/009 S3 Bucket and Storage Classes.mp443.9 MB
• 19 - Reference Getting Started with AWS/009 S3 Bucket and Storage Classes.srt18.5 KB
• 19 - Reference Getting Started with AWS/010 Creation of S3 Bucket from Console.mp426.5 MB
• 19 - Reference Getting Started with AWS/010 Creation of S3 Bucket from Console.srt10.9 KB
• 19 - Reference Getting Started with AWS/011 Creation of S3 Bucket from CLI.mp427.7 MB
• 19 - Reference Getting Started with AWS/011 Creation of S3 Bucket from CLI.srt6.4 KB
• 19 - Reference Getting Started with AWS/012 Version Enablement in S3.mp433.6 MB
• 19 - Reference Getting Started with AWS/012 Version Enablement in S3.srt8.5 KB
• 19 - Reference Getting Started with AWS/013 Introduction EC2 instances.mp431.9 MB
• 19 - Reference Getting Started with AWS/013 Introduction EC2 instances.srt5.4 KB
• 19 - Reference Getting Started with AWS/014 Launch EC2 instance & SSH into EC2 Instances.mp459.9 MB
• 19 - Reference Getting Started with AWS/014 Launch EC2 instance & SSH into EC2 Instances.srt12.2 KB
• 19 - Reference Getting Started with AWS/015 Clean Up Activity.mp46.9 MB
• 19 - Reference Getting Started with AWS/015 Clean Up Activity.srt1.3 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/001 Introduction to Numpy Library.mp434.7 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/001 Introduction to Numpy Library.srt9.4 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/002 Basics of numpy array object.mp411.9 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/002 Basics of numpy array object.srt5.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/003 Import Numpy & Access help.mp412.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/003 Import Numpy & Access help.srt6.8 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/004 Creation of Array Object - np.array().mp413.7 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/004 Creation of Array Object - np.array().srt6.6 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/005 Attributes of Numpy Array.mp49.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/005 Attributes of Numpy Array.srt5.1 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/006 Array Indexing and Slicing.mp427.3 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/006 Array Indexing and Slicing.srt12.8 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/007 Array Creation Functions.mp445.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/007 Array Creation Functions.srt15.1 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/008 Copy Arrays.mp416.9 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/008 Copy Arrays.srt6.7 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/009 Mathematical Operation on Numpy Arrays.mp414.8 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/009 Mathematical Operation on Numpy Arrays.srt6.2 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/010 Linear Algebra Functions in Numpy.mp48.5 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/010 Linear Algebra Functions in Numpy.srt4.7 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/011 Shape Modification of Arrays.mp438.9 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/011 Shape Modification of Arrays.srt13.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/012 np.arange().mp410.9 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/012 np.arange().srt5.2 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/013 Relational Operators & Aggregation Functions on Numpy Arrays.mp427.7 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/013 Relational Operators & Aggregation Functions on Numpy Arrays.srt9.0 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/014 Boolean Masking.mp45.5 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/014 Boolean Masking.srt2.9 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/015 Broadcasting on Numpy Arrays.mp4113.0 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/015 Broadcasting on Numpy Arrays.srt25.3 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/016 Summary of Numpy Library Journey.mp417.5 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/017 Introduction to Pandas.mp48.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/018 Working with Pandas Series.mp443.0 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/018 Working with Pandas Series.srt11.8 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/019 Mathematical Operation on Pandas Series.mp46.8 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/019 Mathematical Operation on Pandas Series.srt3.7 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/020 Dataframes in Pandas.mp432.0 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/020 Dataframes in Pandas.srt17.9 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/021 Working with Data in Pandas DataFrame.mp455.7 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/021 Working with Data in Pandas DataFrame.srt12.3 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/022 Combining the DataFrames.mp467.0 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/022 Combining the DataFrames.srt13.2 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/023 Other Functions on Pandas DataFrame.mp458.0 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/023 Other Functions on Pandas DataFrame.srt14.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/024 Advanced Functions in Pandas DataFrame.mp4136.3 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/024 Advanced Functions in Pandas DataFrame.srt29.6 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/025 Introduction to EDA.mp49.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/025 Introduction to EDA.srt4.9 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/026 Accessing Google Colab.mp418.0 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/026 Accessing Google Colab.srt7.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/027 Loading the Large Dataset for Working.mp445.4 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/027 Loading the Large Dataset for Working.srt10.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/028 Preliminary Analysis on DataFrame.mp466.8 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/028 Preliminary Analysis on DataFrame.srt20.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/029 Null values in the Dataframe.mp450.6 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/029 Null values in the Dataframe.srt9.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/030 Data Cleaning.mp424.3 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/030 Data Cleaning.srt13.6 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/031 Introduction to Data Visualization.mp454.9 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/031 Introduction to Data Visualization.srt8.8 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/032 Matplotlib Basics.mp428.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/032 Matplotlib Basics.srt13.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/033 Types of Plot - Line plot.mp45.4 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/033 Types of Plot - Line plot.srt4.3 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/034 Line Plots Hands On.mp436.6 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/034 Line Plots Hands On.srt12.9 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/035 Adjusting the Plots.mp426.5 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/035 Adjusting the Plots.srt12.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/036 Plot Adjustment Hands On.mp432.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/036 Plot Adjustment Hands On.srt10.8 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/037 Scatter Plot.mp47.0 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/037 Scatter Plot.srt4.7 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/038 Scatter Plot hands on.mp443.1 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/038 Scatter Plot hands on.srt14.0 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/039 Historgram Plot.mp410.9 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/039 Historgram Plot.srt7.9 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/040 Introduction to Seaborn.mp413.8 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/040 Introduction to Seaborn.srt4.6 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/041 Exploring the data.mp466.4 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/041 Exploring the data.srt14.6 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/042 Univariate & Bivariate Plots - Continuous Data.mp469.6 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/042 Univariate & Bivariate Plots - Continuous Data.srt16.3 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/043 Plot - Categorical Data.mp438.8 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/043 Plot - Categorical Data.srt13.4 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/044 Advanced Plots in Seaborn.mp429.7 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/044 Advanced Plots in Seaborn.srt9.5 KB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/045 Which Plot to use.mp422.5 MB
• 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/045 Which Plot to use.srt7.0 KB
• 21 - Additional Learning on Topic of MLOps/001 MLOps with MLFlow in 1 Hour.mp4415.4 MB
• 21 - Additional Learning on Topic of MLOps/001 MLOps with MLFlow in 1 Hour.srt69.4 KB
• 21 - Additional Learning on Topic of MLOps/002 Kubernetes 101 Part 1.mp4159.2 MB
• 21 - Additional Learning on Topic of MLOps/002 Kubernetes 101 Part 1.srt64.3 KB
• 21 - Additional Learning on Topic of MLOps/003 Kubernetes 101 Part 2.mp4428.0 MB
• 21 - Additional Learning on Topic of MLOps/003 Kubernetes 101 Part 2.srt47.9 KB
• 21 - Additional Learning on Topic of MLOps/004 Generative AI and Prompt Engineering Introduction.mp4198.4 MB
• 21 - Additional Learning on Topic of MLOps/004 Generative AI and Prompt Engineering Introduction.srt98.0 KB
• 21 - Additional Learning on Topic of MLOps/005 Bonus Understanding Transformer Architecture.mp4383.7 MB
• 21 - Additional Learning on Topic of MLOps/005 Bonus Understanding Transformer Architecture.srt71.0 KB