Python for Data Science - Zero to Pandas

文件列表

• 1 - Introduction/1 - Introduction.mp422.7 MB
• 1 - Introduction/1 - Welcome to the official repository for the Python Foundations to Machine Learning course! This hands - on journey takes you from writing your first Python script to building real - world data analysis and machine learning models url79 B
• 2 - Module 0 Getting Started/1 - Why Python matters, what Jupyter Notebooks are, and how to access Google Colab.mp411.4 MB
• 2 - Module 0 Getting Started/2 - Course Resources.mp417.7 MB
• 2 - Module 0 Getting Started/3 - Time to Program Introduction to Google Colab and First Python Script.mp428.9 MB
• 3 - Module 1 Python Programming Fundamentals/1 - Variables & Data Types.mp4107.6 MB
• 3 - Module 1 Python Programming Fundamentals/10 - Functions.mp432.4 MB
• 3 - Module 1 Python Programming Fundamentals/11 - Advanced Bonus Section Classes - Object Oriented Programming.mp433.2 MB
• 3 - Module 1 Python Programming Fundamentals/2 - Student Exercises Variables, Print, and Introduction to F - Strings.mp432.9 MB
• 3 - Module 1 Python Programming Fundamentals/3 - Basic Operators - Python Calculations.mp436.7 MB
• 3 - Module 1 Python Programming Fundamentals/4 - Comparison & Logical Operators.mp416.5 MB
• 3 - Module 1 Python Programming Fundamentals/5 - Checking & Changing Data Types and How to guide to rounding numbers.mp443.4 MB
• 3 - Module 1 Python Programming Fundamentals/6 - Getting Input from Users.mp429.4 MB
• 3 - Module 1 Python Programming Fundamentals/7 - Python Data Structures Lists, Tuples, Dictionaries, and Sets.mp490.0 MB
• 3 - Module 1 Python Programming Fundamentals/8 - Control Flow.mp4111.4 MB
• 3 - Module 1 Python Programming Fundamentals/9 - List Comprehensions.mp417.9 MB
• 4 - Working with Libraries, Reading & Writing Files and Adding a New Line/1 - Working with Python Libraries - Importing Modules.mp4100.0 MB
• 4 - Working with Libraries, Reading & Writing Files and Adding a New Line/2 - File IO Basics.mp434.3 MB
• 5 - Module 2 Introduction to Data Science Libraries/1 - Section Introduction.mp418.1 MB
• 5 - Module 2 Introduction to Data Science Libraries/2 - Numpy and Pandas.mp432.8 MB
• 5 - Module 2 Introduction to Data Science Libraries/3 - Data Frame Analysis with Housing Dataset.mp4169.9 MB
• 5 - Module 2 Introduction to Data Science Libraries/4 - Data Visualization with Matplotlib & Seaborn.mp464.9 MB
• 5 - Module 2 Introduction to Data Science Libraries/5 - Mention of Other Tools - Visual Studio Code.mp412.6 MB
• 5 - Module 2 Introduction to Data Science Libraries/🚀 DownloadCursos.top.html2.2 KB
• 6 - Module 3 Using Python for Machine Learning & Analysis/1 - What is Machine Learning.mp422.2 MB
• 6 - Module 3 Using Python for Machine Learning & Analysis/2 - Classification VS Regression.mp432.3 MB
• 6 - Module 3 Using Python for Machine Learning & Analysis/3 - Machine Learning Quiz.mp46.2 MB
• 6 - Module 3 Using Python for Machine Learning & Analysis/4 - Where to Find Practice Data & How to Load Different Data Sources.mp46.5 MB
• 6 - Module 3 Using Python for Machine Learning & Analysis/5 - Data Cleaning Essentials.mp429.7 MB
• 6 - Module 3 Using Python for Machine Learning & Analysis/6 - Data Cleaning Quiz.mp42.8 MB
• 7 - Full Exploratory Data Analysis of Real World Government Survey Data/1 - Introduction to the PUMS Government Survey Data & Loading EDA and ML Notebooks.mp435.4 MB
• 7 - Full Exploratory Data Analysis of Real World Government Survey Data/2 - Full Exploratory Data Analysis EDA on Real Government Data.mp4191.5 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/1 - Modeling and Evaluation Section Introduction.mp47.9 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/2 - Introduction to Logistic Regression.mp430.6 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/3 - Introduction to Random Forest.mp412.5 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/4 - XGBoost.mp410.5 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/5 - Train - Test - Split and K - Fold Cross Validation.mp415.8 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/6 - Grid Search Cross Validation.mp46.0 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/7 - Model Evaluation Techniques.mp433.1 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/8 - Quiz on Modeling Evaluation.mp46.6 MB
• 8 - Module 4 Introduction Machine Learning Modeling and Evaluation/9 - End - to - End Machine Learning Workflow.mp4177.2 MB
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