Udemy - Complete Python & Data Science Course for Absolute Beginners

文件列表

• 001 Introduction.mp436.2 MB
• 001 Introduction_en.srt7.3 KB
• 002 Intro To Python.mp440.4 MB
• 002 Intro To Python_en.srt8.1 KB
• 003 Variables.mp4108.0 MB
• 003 Variables_en.srt31.5 KB
• 004 Type Conversion Examples.mp463.8 MB
• 004 Type Conversion Examples_en.srt17.2 KB
• 005 Operators.mp446.5 MB
• 005 Operators_en.srt10.7 KB
• 006 Operators Examples.mp4126.6 MB
• 006 Operators Examples_en.srt34.5 KB
• 007 Collections.mp451.6 MB
• 007 Collections_en.srt13.4 KB
• 008 Lists.mp473.3 MB
• 008 Lists_en.srt19.3 KB
• 009 Multidimensional List Examples.mp447.7 MB
• 009 Multidimensional List Examples_en.srt13.1 KB
• 010 Tuples Examples.mp456.4 MB
• 010 Tuples Examples_en.srt14.2 KB
• 011 Dictionaries Examples.mp490.9 MB
• 011 Dictionaries Examples_en.srt23.8 KB
• 012 Ranges Examples.mp457.6 MB
• 012 Ranges Examples_en.srt14.2 KB
• 013 Conditionals.mp446.8 MB
• 013 Conditionals_en.srt10.3 KB
• 014 If Statement Examples.mp456.8 MB
• 014 If Statement Examples_en.srt17.5 KB
• 015 If Statement Variants Examples.mp473.8 MB
• 015 If Statement Variants Examples_en.srt18.4 KB
• 016 Loops.mp450.0 MB
• 016 Loops_en.srt11.2 KB
• 017 While Loops Examples.mp465.9 MB
• 017 While Loops Examples_en.srt18.6 KB
• 018 For Loops Examples.mp472.2 MB
• 018 For Loops Examples_en.srt18.0 KB
• 019 Functions.mp454.6 MB
• 019 Functions_en.srt12.5 KB
• 020 Functions Examples.mp451.3 MB
• 020 Functions Examples_en.srt15.3 KB
• 021 Parameters And Return Values Examples.mp482.3 MB
• 021 Parameters And Return Values Examples_en.srt22.7 KB
• 022 Classes and Objects.mp478.5 MB
• 022 Classes and Objects_en.srt16.9 KB
• 023 Classes Example.mp478.8 MB
• 023 Classes Example_en.srt22.4 KB
• 024 Objects Examples.mp486.4 MB
• 024 Objects Examples_en.srt16.7 KB
• 025 Inheritance Examples.mp4133.4 MB
• 025 Inheritance Examples_en.srt28.3 KB
• 026 Static Members Example.mp483.2 MB
• 026 Static Members Example_en.srt17.0 KB
• 027 Summary and Outro.mp429.3 MB
• 027 Summary and Outro_en.srt6.1 KB
• 028 Python-Language-Basics.zip102.2 KB
• 028 Source Code.html27 B
• 029 00. Course Intro.mp435.0 MB
• 029 00. Course Intro_en.srt8.3 KB
• 030 01. Intro To Pyplot.mp435.1 MB
• 030 01. Intro To Pyplot_en.srt7.1 KB
• 031 02. Installing Matplotlib.mp435.7 MB
• 031 02. Installing Matplotlib_en.srt8.9 KB
• 032 03. Basic Line Plot.mp458.3 MB
• 032 03. Basic Line Plot_en.srt12.6 KB
• 033 04. Customizing Graphs.mp485.1 MB
• 033 04. Customizing Graphs_en.srt17.7 KB
• 034 05. Plotting Multiple Datasets.mp470.3 MB
• 034 05. Plotting Multiple Datasets_en.srt13.1 KB
• 035 06. Bar Chart.mp446.0 MB
• 035 06. Bar Chart_en.srt10.3 KB
• 036 07. Pie Chart.mp461.2 MB
• 036 07. Pie Chart_en.srt14.0 KB
• 037 08. Histogram.mp465.0 MB
• 037 08. Histogram_en.srt15.8 KB
• 038 09. 3D Plotting.mp451.4 MB
• 038 09. 3D Plotting_en.srt9.4 KB
• 039 10. Course Outro.mp426.5 MB
• 039 10. Course Outro_en.srt5.9 KB
• 040 Pyplot-Code.zip271.7 KB
• 040 Source Code.html27 B
• 041 00. Panda Course Introduction.mp439.5 MB
• 041 00. Panda Course Introduction_en.srt8.6 KB
• 042 01. Intro To Pandas.mp450.3 MB
• 042 01. Intro To Pandas_en.srt11.7 KB
• 043 02. Installing Pandas.mp435.6 MB
• 043 02. Installing Pandas_en.srt8.7 KB
• 044 03. Creating Pandas Series.mp4123.1 MB
• 044 03. Creating Pandas Series_en.srt33.6 KB
• 045 04. Date Ranges.mp463.5 MB
• 045 04. Date Ranges_en.srt18.3 KB
• 046 05. Getting Elements From Series.mp4102.4 MB
• 046 05. Getting Elements From Series_en.srt31.2 KB
• 047 06. Getting Properties Of Series.mp470.7 MB
• 047 06. Getting Properties Of Series_en.srt21.0 KB
• 048 07. Modifying Series.mp4103.3 MB
• 048 07. Modifying Series_en.srt29.4 KB
• 049 08. Operations On Series.mp465.1 MB
• 049 08. Operations On Series_en.srt19.2 KB
• 050 09. Creating Pandas Dataframes.mp4140.1 MB
• 050 09. Creating Pandas Dataframes_en.srt36.3 KB
• 051 10. Getting Elements From Dataframes.mp4140.8 MB
• 051 10. Getting Elements From Dataframes_en.srt40.8 KB
• 052 11. Getting Properties From Dataframes.mp4111.7 MB
• 052 11. Getting Properties From Dataframes_en.srt29.2 KB
• 053 12. Dataframe Modification.mp4240.7 MB
• 053 12. Dataframe Modification_en.srt58.4 KB
• 054 13. Dataframe Operations.mp4119.1 MB
• 054 13. Dataframe Operations_en.srt33.7 KB
• 055 14 Dataframe Comparisons And Iteration.mp493.0 MB
• 055 14 Dataframe Comparisons And Iteration_en.srt25.5 KB
• 056 15. Reading CSVs.mp479.9 MB
• 056 15. Reading CSVs_en.srt19.6 KB
• 057 16.summary And Outro.mp432.6 MB
• 057 16.summary And Outro_en.srt6.1 KB
• 058 Source Files.html27 B
• 058 Source-Files.zip74.2 KB
• 059 Introduction to Data Mining.mp478.6 MB
• 059 Introduction to Data Mining_en.srt13.3 KB
• 060 Project Files - Data Mining with Mammoth Interactive.html27 B
• 060 Project-Files-Data-Mining-with-Mammoth-Interactive.zip533.9 KB
• 061 Data Wrangling Demystified.mp4576.3 MB
• 061 Data Wrangling Demystified_en.srt84.9 KB
• 062 Project Files - Data Wrangling with Mammoth Interactive.html27 B
• 062 Project-Files-Data-Wrangling-with-Mammoth-Interactive.zip804.9 KB
• 063 01. Cluster Analysis.mp4232.1 MB
• 063 01. Cluster Analysis_en.srt24.2 KB
• 064 02. Classification and Regression.mp4301.5 MB
• 064 02. Classification and Regression_en.srt45.5 KB
• 065 03. Association and Correlation.mp4124.1 MB
• 065 03. Association and Correlation_en.srt16.0 KB
• 066 04. Dimensionality Reduction.mp4271.8 MB
• 066 04. Dimensionality Reduction_en.srt34.2 KB
• 067 Project Files - Data Mining fundamentals with Mammoth Interactive.html27 B
• 067 Project-Files-Data-Mining-fundamentals-with-Mammoth-Interactive.zip533.9 KB
• 068 01. Apache Spark - An Overview Of The Framework.mp4227.9 MB
• 068 01. Apache Spark - An Overview Of The Framework_en.srt39.5 KB
• 069 02. Spark Key Functions.mp4193.6 MB
• 069 02. Spark Key Functions_en.srt28.4 KB
• 070 03. Spark Machine Learning.mp491.1 MB
• 070 03. Spark Machine Learning_en.srt9.6 KB
• 071 04. EXAMPLES - Using The Machine Learning Pipeline.mp472.5 MB
• 071 04. EXAMPLES - Using The Machine Learning Pipeline_en.srt8.1 KB
• 072 Project Files - Frameworks with Mammoth Interactive.html27 B
• 072 Project-Files-Frameworks-with-Mammoth-Interactive.zip122.6 KB
• 073 01. Text Mining.mp4160.7 MB
• 073 01. Text Mining_en.srt20.6 KB
• 074 02. Network Mining.mp4106.6 MB
• 074 02. Network Mining_en.srt13.3 KB
• 075 03. Matrix.mp467.3 MB
• 075 03. Matrix_en.srt9.9 KB
• 076 04. SQL.mp4127.5 MB
• 076 04. SQL_en.srt18.0 KB
• 077 Mining and Storing with Mammoth Interactive.html27 B
• 077 Mining-and-Storing-with-Mammoth-Interactive.zip755.8 KB
• 078 01 NLP Data Cleaning.mp476.7 MB
• 078 01 NLP Data Cleaning_en.srt9.4 KB
• 079 02. Count Vectorizer.mp478.0 MB
• 079 02. Count Vectorizer_en.srt11.7 KB
• 080 03. NLP Example with Spam.mp498.5 MB
• 080 03. NLP Example with Spam_en.srt14.2 KB
• 081 04. Tweak Model with Spam Data.mp461.9 MB
• 081 04. Tweak Model with Spam Data_en.srt7.3 KB
• 082 05. Pipeline with Spam Data.mp449.7 MB
• 082 05. Pipeline with Spam Data_en.srt6.2 KB
• 083 Project Files - NLP with Mammoth Interactive.html27 B
• 083 Project-Files-NLP-with-Mammoth-Interactive.zip211.0 KB
• 084 06. Conclusion and Challenge.mp460.7 MB
• 084 06. Conclusion and Challenge_en.srt5.9 KB
• 085 07 Conclusion Files - Mammoth Interactive.html27 B
• 085 07-Conclusion-Files-Mammoth-Interactive.zip758 B
• 086 00 Project Preview.mp426.3 MB
• 086 00 Project Preview_en.srt3.2 KB
• 087 01 What Is Apache Spark.mp413.5 MB
• 087 01 What Is Apache Spark_en.srt3.2 KB
• 088 02 What Are Resilient Distributed Datasets.mp47.4 MB
• 088 02 What Are Resilient Distributed Datasets_en.srt1.4 KB
• 089 03A What Is A Dataframe.mp48.6 MB
• 089 03A What Is A Dataframe_en.srt2.2 KB
• 090 03B What You'll Need.mp48.6 MB
• 090 03B What You'll Need_en.srt2.2 KB
• 091 Source Files.html27 B
• 091 Source-Files.zip3.0 MB
• 092 04 Start A Spark Session.mp423.6 MB
• 092 04 Start A Spark Session_en.srt5.1 KB
• 093 05 Load Data As A CSV.mp441.1 MB
• 093 05 Load Data As A CSV_en.srt7.6 KB
• 094 06 Perform Basic Dataframe Operations.mp432.2 MB
• 094 06 Perform Basic Dataframe Operations_en.srt5.2 KB
• 095 07 Format Dataframe Table.mp438.9 MB
• 095 07 Format Dataframe Table_en.srt6.2 KB
• 096 08 Perform Dataframe Math Operations.mp462.8 MB
• 096 08 Perform Dataframe Math Operations_en.srt8.9 KB
• 097 09 Perform Dataframe Queries.mp488.0 MB
• 097 09 Perform Dataframe Queries_en.srt17.8 KB
• 098 10 Build SQL Queries With Spark.mp444.2 MB
• 098 10 Build SQL Queries With Spark_en.srt8.4 KB
• 099 Source Files.html27 B
• 099 Source-Files.zip59.3 KB
• 100 00 Project Preview.mp419.8 MB
• 100 00 Project Preview_en.srt4.9 KB
• 101 01 Convert Csv File To A Python List.mp495.7 MB
• 101 01 Convert Csv File To A Python List_en.srt17.8 KB
• 102 02 Tokenize Text Data.mp4168.6 MB
• 102 02 Tokenize Text Data_en.srt31.6 KB
• 103 03 Find Most Popular Lemmatized Words.mp492.6 MB
• 103 03 Find Most Popular Lemmatized Words_en.srt14.8 KB
• 104 04 Build Dataframes Per Part Of Speech.mp434.0 MB
• 104 04 Build Dataframes Per Part Of Speech_en.srt4.8 KB
• 105 05 Plot Word Frequency.mp458.1 MB
• 105 05 Plot Word Frequency_en.srt11.7 KB
• 106 Source Files.html27 B
• 106 Source-Files.zip11.3 KB
• 107 00 Project Preview.mp416.9 MB
• 107 00 Project Preview_en.srt5.9 KB
• 108 01 Load A Dataset.mp471.5 MB
• 108 01 Load A Dataset_en.srt13.0 KB
• 109 02 Analyze The Main Feature.mp416.0 MB
• 109 02 Analyze The Main Feature_en.srt3.8 KB
• 110 03 Analyze Numerical Features.mp459.2 MB
• 110 03 Analyze Numerical Features_en.srt10.5 KB
• 111 04 Analyze Categorical Features.mp454.3 MB
• 111 04 Analyze Categorical Features_en.srt13.8 KB
• 112 Source Files.html27 B
• 112 Source-Files.zip193.0 KB
• 113 01 Find Relationships Between Numerical Features.mp468.9 MB
• 113 01 Find Relationships Between Numerical Features_en.srt17.1 KB
• 114 02 Find Relationships Between Categorical Features.mp449.2 MB
• 114 02 Find Relationships Between Categorical Features_en.srt10.8 KB
• 115 03 Build Conditional Plots.mp448.5 MB
• 115 03 Build Conditional Plots_en.srt10.1 KB
• 116 Source Files.html27 B
• 116 Source-Files.zip3.9 KB
• 117 00 Course Overview.mp48.0 MB
• 117 00 Course Overview_en.srt2.4 KB
• 118 01 What You'll Need.mp413.5 MB
• 118 01 What You'll Need_en.srt3.6 KB
• 119 Source files.html27 B
• 119 Source-files.zip1.7 MB
• 120 01 Why You Must Know How To Work With Data.mp415.6 MB
• 120 01 Why You Must Know How To Work With Data_en.srt6.7 KB
• 121 Source files.html27 B
• 121 Source-Files.zip1.6 MB
• 122 01 How To Read An ER Model.mp414.0 MB
• 122 01 How To Read An ER Model_en.srt6.5 KB
• 123 Source files.html27 B
• 123 Source-Files.zip570.4 KB
• 124 01 What Is A Database.mp421.6 MB
• 124 01 What Is A Database_en.srt9.4 KB
• 125 02 What Is A Relational Database.mp413.3 MB
• 125 02 What Is A Relational Database_en.srt5.0 KB
• 126 Source files.html27 B
• 126 Source-Files.zip1.6 MB
• 127 01 How To Design Columns And Data Types.mp49.2 MB
• 127 01 How To Design Columns And Data Types_en.srt3.6 KB
• 128 02 Use Normal Forms To Check Your Design.mp427.0 MB
• 128 02 Use Normal Forms To Check Your Design_en.srt8.6 KB
• 129 Source files.html27 B
• 129 Source-files.zip1.8 MB
• 130 01 Build A SQLite Database With Python.mp434.4 MB
• 130 01 Build A SQLite Database With Python_en.srt8.7 KB
• 131 02 Add An Entry To The Table With SQL.mp433.0 MB
• 131 02 Add An Entry To The Table With SQL_en.srt7.4 KB
• 132 03 Add More Records To The Table.mp435.0 MB
• 132 03 Add More Records To The Table_en.srt7.0 KB
• 133 04 Build A Second Table For Cross-Referencing.mp475.5 MB
• 133 04 Build A Second Table For Cross-Referencing_en.srt12.8 KB
• 134 05 Select Rows That Meet Conditions.mp446.9 MB
• 134 05 Select Rows That Meet Conditions_en.srt7.9 KB
• 135 Source files.html27 B
• 135 Source-files.zip11.7 KB
• 136 Course Overview.mp48.9 MB
• 136 Course Overview_en.srt5.3 KB
• 137 01 Load And Create Data.mp466.5 MB
• 137 01 Load And Create Data_en.srt13.0 KB
• 138 02 Perform Exploratory Data Analysis.mp427.2 MB
• 138 02 Perform Exploratory Data Analysis_en.srt4.6 KB
• 139 03 Visualize Data With Different Plots.mp457.6 MB
• 139 03 Visualize Data With Different Plots_en.srt14.8 KB
• 140 04 Analyze Features With More Plots.mp435.1 MB
• 140 04 Analyze Features With More Plots_en.srt8.5 KB
• 141 05 Build Plots With Seaborn.mp435.4 MB
• 141 05 Build Plots With Seaborn_en.srt6.5 KB
• 142 06 Build A Bokeh Plot.mp437.3 MB
• 142 06 Build A Bokeh Plot_en.srt8.0 KB
• 143 07 Build A 3D Scatter Plot.mp420.1 MB
• 143 07 Build A 3D Scatter Plot_en.srt4.6 KB
• 144 08 Rank Feature Importance.mp439.6 MB
• 144 08 Rank Feature Importance_en.srt10.0 KB
• 145 09 Compare Positive And Negative Returns.mp435.5 MB
• 145 09 Compare Positive And Negative Returns_en.srt10.0 KB
• 146 Source Files.html27 B
• 146 Source-Files.zip10.2 KB
• 147 00 Project Preview.mp410.9 MB
• 147 00 Project Preview_en.srt4.4 KB
• 148 01 Load Crypto Prices Dataset.mp459.8 MB
• 148 01 Load Crypto Prices Dataset_en.srt13.7 KB
• 149 02 Visualize Bitcoin Price Trend.mp423.4 MB
• 149 02 Visualize Bitcoin Price Trend_en.srt6.1 KB
• 150 03 Predict Price With Facebook Prophet.mp439.2 MB
• 150 03 Predict Price With Facebook Prophet_en.srt8.1 KB
• 151 04 Analyze Model Performance.mp474.9 MB
• 151 04 Analyze Model Performance_en.srt10.9 KB
• 152 05 Visualize Model Results.mp426.6 MB
• 152 05 Visualize Model Results_en.srt4.5 KB
• 153 06 Predict Monthly Trend.mp462.1 MB
• 153 06 Predict Monthly Trend_en.srt12.0 KB
• 154 07 Predict Weekly Trend.mp436.9 MB
• 154 07 Predict Weekly Trend_en.srt7.4 KB
• 155 08 Compare Final Stock Price Of Different Strategies.mp443.0 MB
• 155 08 Compare Final Stock Price Of Different Strategies_en.srt8.8 KB
• 156 09-Source-Files.zip24.9 KB
• 156 Source Files.html27 B
• 157 00 Project Preview.mp412.7 MB
• 157 00 Project Preview_en.srt4.5 KB
• 158 01 Fetch Stock Data.mp457.6 MB
• 158 01 Fetch Stock Data_en.srt12.7 KB
• 159 02 Visualize Stock Data Features.mp447.8 MB
• 159 02 Visualize Stock Data Features_en.srt9.6 KB
• 160 03 Calculate Daily Return.mp424.1 MB
• 160 03 Calculate Daily Return_en.srt5.0 KB
• 161 04 Compare Returns Of Different Stocks.mp473.5 MB
• 161 04 Compare Returns Of Different Stocks_en.srt14.9 KB
• 162 05 Compare Closing Prices.mp456.0 MB
• 162 05 Compare Closing Prices_en.srt11.5 KB
• 163 Source Files.html27 B
• 163 Source-Files.zip3.9 KB
• 164 01 Visualize Standard Deviation And Expected Returns.mp426.7 MB
• 164 01 Visualize Standard Deviation And Expected Returns_en.srt6.6 KB
• 165 02 Calculate Value At Risk.mp421.1 MB
• 165 02 Calculate Value At Risk_en.srt4.7 KB
• 166 03 Monte Carlo Analysis To Estimate Risk.mp452.0 MB
• 166 03 Monte Carlo Analysis To Estimate Risk_en.srt11.3 KB
• 167 04 Visualize Price Distribution.mp460.4 MB
• 167 04 Visualize Price Distribution_en.srt11.1 KB
• 168 Source Files.html27 B
• 168 Source-Files.zip5.9 KB
• 169 00 What Is Web Scraping.mp422.0 MB
• 169 00 What Is Web Scraping_en.srt8.3 KB
• 170 01 What You'll Need.mp47.5 MB
• 170 01 What You'll Need_en.srt2.1 KB
• 171 Source Files.html27 B
• 171 Source-Files.zip1.4 MB
• 172 02 Build An HTML Webpage To Scrape.mp484.3 MB
• 172 02 Build An HTML Webpage To Scrape_en.srt17.5 KB
• 173 03 Select Data Structures From A Webpage.mp434.9 MB
• 173 03 Select Data Structures From A Webpage_en.srt7.2 KB
• 174 04 Extract URLs And Text.mp438.8 MB
• 174 04 Extract URLs And Text_en.srt7.1 KB
• 175 05 Work With Tags.mp438.6 MB
• 175 05 Work With Tags_en.srt9.2 KB
• 176 06 Work With Attributes.mp423.8 MB
• 176 06 Work With Attributes_en.srt6.3 KB
• 177 07 Add Navigation To A String.mp424.3 MB
• 177 07 Add Navigation To A String_en.srt6.6 KB
• 178 08 Navigate HTML Contents.mp461.4 MB
• 178 08 Navigate HTML Contents_en.srt8.4 KB
• 179 09 Find All Filter.mp432.4 MB
• 179 09 Find All Filter_en.srt5.8 KB
• 180 Source Files.html27 B
• 180 Source-Files.zip6.8 KB
• 181 01 Project Preview.mp49.4 MB
• 181 01 Project Preview_en.srt2.1 KB
• 182 02 What Is Plotly And Dash.mp418.7 MB
• 182 02 What Is Plotly And Dash_en.srt5.0 KB
• 183 03 What You'll Need.mp410.7 MB
• 183 03 What You'll Need_en.srt3.0 KB
• 184 Source Files.html27 B
• 184 Source-Files.zip2.0 MB
• 185 01 Build A Dash App.mp498.9 MB
• 185 01 Build A Dash App_en.srt15.5 KB
• 186 02 Build A Graph In The Dash App.mp477.9 MB
• 186 02 Build A Graph In The Dash App_en.srt13.8 KB
• 187 Source Files.html27 B
• 187 Source-Files.zip1.4 KB
• 188 01 Load Data From Vega Datasets.mp433.5 MB
• 188 01 Load Data From Vega Datasets_en.srt6.6 KB
• 189 02 Build The Layout.mp455.7 MB
• 189 02 Build The Layout_en.srt12.7 KB
• 190 03 Build A Chart With Altair.mp472.0 MB
• 190 03 Build A Chart With Altair_en.srt14.6 KB
• 191 Source Files.html27 B
• 191 Source-Files.zip2.4 KB
• 192 01 Project Preview.mp415.6 MB
• 192 01 Project Preview_en.srt4.4 KB
• 193 01 Build A Dataset.mp4141.1 MB
• 193 01 Build A Dataset_en.srt32.9 KB
• 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp464.8 MB
• 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y_en.srt14.0 KB
• 195 03 Compute Support And Confidence For All Channels.mp492.1 MB
• 195 03 Compute Support And Confidence For All Channels_en.srt19.3 KB
• 196 04 Determine Which Videos Are Best To Recommend.mp467.8 MB
• 196 04 Determine Which Videos Are Best To Recommend_en.srt14.5 KB
• 197 Source Files.html27 B
• 197 Source-Files.zip5.4 KB