Udemy - Complete Python & Data Science Course for Absolute Beginners

磁力链接/BT种子名称

Udemy - Complete Python & Data Science Course for Absolute Beginners

磁力链接/BT种子简介

种子哈希：a406d2d68fe3b3ae081b10ce35ccfa06b92dac5b
文件大小： 10.74G
已经下载：10606次
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收录时间：2022-02-11
最近下载：2025-07-05

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文件列表

  • 061 Data Wrangling Demystified.mp4 604.3 MB
  • 064 02. Classification and Regression.mp4 316.1 MB
  • 066 04. Dimensionality Reduction.mp4 285.1 MB
  • 053 12. Dataframe Modification.mp4 252.4 MB
  • 063 01. Cluster Analysis.mp4 243.4 MB
  • 068 01. Apache Spark - An Overview Of The Framework.mp4 239.0 MB
  • 069 02. Spark Key Functions.mp4 203.0 MB
  • 102 02 Tokenize Text Data.mp4 176.8 MB
  • 073 01. Text Mining.mp4 168.5 MB
  • 193 01 Build A Dataset.mp4 148.0 MB
  • 051 10. Getting Elements From Dataframes.mp4 147.7 MB
  • 050 09. Creating Pandas Dataframes.mp4 146.9 MB
  • 025 Inheritance Examples.mp4 139.9 MB
  • 076 04. SQL.mp4 133.7 MB
  • 006 Operators Examples.mp4 132.7 MB
  • 065 03. Association and Correlation.mp4 130.1 MB
  • 044 03. Creating Pandas Series.mp4 129.1 MB
  • 054 13. Dataframe Operations.mp4 124.8 MB
  • 052 11. Getting Properties From Dataframes.mp4 117.1 MB
  • 003 Variables.mp4 113.3 MB
  • 074 02. Network Mining.mp4 111.7 MB
  • 048 07. Modifying Series.mp4 108.3 MB
  • 046 05. Getting Elements From Series.mp4 107.4 MB
  • 185 01 Build A Dash App.mp4 103.7 MB
  • 080 03. NLP Example with Spam.mp4 103.2 MB
  • 101 01 Convert Csv File To A Python List.mp4 100.3 MB
  • 055 14 Dataframe Comparisons And Iteration.mp4 97.5 MB
  • 103 03 Find Most Popular Lemmatized Words.mp4 97.1 MB
  • 195 03 Compute Support And Confidence For All Channels.mp4 96.6 MB
  • 070 03. Spark Machine Learning.mp4 95.5 MB
  • 011 Dictionaries Examples.mp4 95.3 MB
  • 097 09 Perform Dataframe Queries.mp4 92.3 MB
  • 024 Objects Examples.mp4 90.6 MB
  • 033 04. Customizing Graphs.mp4 89.2 MB
  • 172 02 Build An HTML Webpage To Scrape.mp4 88.4 MB
  • 026 Static Members Example.mp4 87.3 MB
  • 021 Parameters And Return Values Examples.mp4 86.3 MB
  • 056 15. Reading CSVs.mp4 83.7 MB
  • 023 Classes Example.mp4 82.6 MB
  • 059 Introduction to Data Mining.mp4 82.4 MB
  • 022 Classes and Objects.mp4 82.3 MB
  • 079 02. Count Vectorizer.mp4 81.7 MB
  • 186 02 Build A Graph In The Dash App.mp4 81.7 MB
  • 078 01 NLP Data Cleaning.mp4 80.5 MB
  • 133 04 Build A Second Table For Cross-Referencing.mp4 79.2 MB
  • 151 04 Analyze Model Performance.mp4 78.5 MB
  • 015 If Statement Variants Examples.mp4 77.4 MB
  • 161 04 Compare Returns Of Different Stocks.mp4 77.1 MB
  • 008 Lists.mp4 76.9 MB
  • 071 04. EXAMPLES - Using The Machine Learning Pipeline.mp4 76.0 MB
  • 018 For Loops Examples.mp4 75.7 MB
  • 190 03 Build A Chart With Altair.mp4 75.5 MB
  • 108 01 Load A Dataset.mp4 75.0 MB
  • 047 06. Getting Properties Of Series.mp4 74.2 MB
  • 034 05. Plotting Multiple Datasets.mp4 73.7 MB
  • 113 01 Find Relationships Between Numerical Features.mp4 72.3 MB
  • 196 04 Determine Which Videos Are Best To Recommend.mp4 71.1 MB
  • 075 03. Matrix.mp4 70.6 MB
  • 137 01 Load And Create Data.mp4 69.8 MB
  • 017 While Loops Examples.mp4 69.1 MB
  • 049 08. Operations On Series.mp4 68.3 MB
  • 037 08. Histogram.mp4 68.2 MB
  • 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4 67.9 MB
  • 004 Type Conversion Examples.mp4 66.9 MB
  • 045 04. Date Ranges.mp4 66.6 MB
  • 096 08 Perform Dataframe Math Operations.mp4 65.8 MB
  • 153 06 Predict Monthly Trend.mp4 65.1 MB
  • 081 04. Tweak Model with Spam Data.mp4 65.0 MB
  • 178 08 Navigate HTML Contents.mp4 64.4 MB
  • 036 07. Pie Chart.mp4 64.2 MB
  • 084 06. Conclusion and Challenge.mp4 63.6 MB
  • 167 04 Visualize Price Distribution.mp4 63.3 MB
  • 148 01 Load Crypto Prices Dataset.mp4 62.7 MB
  • 110 03 Analyze Numerical Features.mp4 62.1 MB
  • 032 03. Basic Line Plot.mp4 61.1 MB
  • 105 05 Plot Word Frequency.mp4 60.9 MB
  • 012 Ranges Examples.mp4 60.4 MB
  • 158 01 Fetch Stock Data.mp4 60.4 MB
  • 139 03 Visualize Data With Different Plots.mp4 60.3 MB
  • 014 If Statement Examples.mp4 59.6 MB
  • 010 Tuples Examples.mp4 59.1 MB
  • 162 05 Compare Closing Prices.mp4 58.8 MB
  • 189 02 Build The Layout.mp4 58.4 MB
  • 019 Functions.mp4 57.2 MB
  • 111 04 Analyze Categorical Features.mp4 57.0 MB
  • 166 03 Monte Carlo Analysis To Estimate Risk.mp4 54.5 MB
  • 007 Collections.mp4 54.1 MB
  • 038 09. 3D Plotting.mp4 53.9 MB
  • 020 Functions Examples.mp4 53.8 MB
  • 042 01. Intro To Pandas.mp4 52.8 MB
  • 016 Loops.mp4 52.4 MB
  • 082 05. Pipeline with Spam Data.mp4 52.1 MB
  • 114 02 Find Relationships Between Categorical Features.mp4 51.6 MB
  • 115 03 Build Conditional Plots.mp4 50.9 MB
  • 159 02 Visualize Stock Data Features.mp4 50.1 MB
  • 009 Multidimensional List Examples.mp4 50.0 MB
  • 134 05 Select Rows That Meet Conditions.mp4 49.2 MB
  • 013 Conditionals.mp4 49.0 MB
  • 005 Operators.mp4 48.7 MB
  • 035 06. Bar Chart.mp4 48.2 MB
  • 098 10 Build SQL Queries With Spark.mp4 46.3 MB
  • 155 08 Compare Final Stock Price Of Different Strategies.mp4 45.1 MB
  • 093 05 Load Data As A CSV.mp4 43.1 MB
  • 002 Intro To Python.mp4 42.4 MB
  • 144 08 Rank Feature Importance.mp4 41.6 MB
  • 041 00. Panda Course Introduction.mp4 41.4 MB
  • 150 03 Predict Price With Facebook Prophet.mp4 41.1 MB
  • 095 07 Format Dataframe Table.mp4 40.8 MB
  • 174 04 Extract URLs And Text.mp4 40.6 MB
  • 175 05 Work With Tags.mp4 40.5 MB
  • 142 06 Build A Bokeh Plot.mp4 39.2 MB
  • 154 07 Predict Weekly Trend.mp4 38.7 MB
  • 001 Introduction.mp4 38.0 MB
  • 031 02. Installing Matplotlib.mp4 37.4 MB
  • 043 02. Installing Pandas.mp4 37.3 MB
  • 145 09 Compare Positive And Negative Returns.mp4 37.2 MB
  • 141 05 Build Plots With Seaborn.mp4 37.1 MB
  • 030 01. Intro To Pyplot.mp4 36.8 MB
  • 140 04 Analyze Features With More Plots.mp4 36.8 MB
  • 029 00. Course Intro.mp4 36.7 MB
  • 132 03 Add More Records To The Table.mp4 36.7 MB
  • 173 03 Select Data Structures From A Webpage.mp4 36.6 MB
  • 130 01 Build A SQLite Database With Python.mp4 36.0 MB
  • 104 04 Build Dataframes Per Part Of Speech.mp4 35.7 MB
  • 188 01 Load Data From Vega Datasets.mp4 35.1 MB
  • 131 02 Add An Entry To The Table With SQL.mp4 34.6 MB
  • 057 16.summary And Outro.mp4 34.2 MB
  • 179 09 Find All Filter.mp4 34.0 MB
  • 094 06 Perform Basic Dataframe Operations.mp4 33.7 MB
  • 027 Summary and Outro.mp4 30.7 MB
  • 138 02 Perform Exploratory Data Analysis.mp4 28.6 MB
  • 128 02 Use Normal Forms To Check Your Design.mp4 28.3 MB
  • 164 01 Visualize Standard Deviation And Expected Returns.mp4 28.0 MB
  • 152 05 Visualize Model Results.mp4 27.9 MB
  • 039 10. Course Outro.mp4 27.8 MB
  • 086 00 Project Preview.mp4 27.5 MB
  • 177 07 Add Navigation To A String.mp4 25.5 MB
  • 160 03 Calculate Daily Return.mp4 25.3 MB
  • 176 06 Work With Attributes.mp4 25.0 MB
  • 092 04 Start A Spark Session.mp4 24.7 MB
  • 149 02 Visualize Bitcoin Price Trend.mp4 24.5 MB
  • 169 00 What Is Web Scraping.mp4 23.1 MB
  • 124 01 What Is A Database.mp4 22.6 MB
  • 165 02 Calculate Value At Risk.mp4 22.1 MB
  • 143 07 Build A 3D Scatter Plot.mp4 21.0 MB
  • 100 00 Project Preview.mp4 20.8 MB
  • 182 02 What Is Plotly And Dash.mp4 19.6 MB
  • 107 00 Project Preview.mp4 17.7 MB
  • 109 02 Analyze The Main Feature.mp4 16.7 MB
  • 192 01 Project Preview.mp4 16.4 MB
  • 120 01 Why You Must Know How To Work With Data.mp4 16.4 MB
  • 122 01 How To Read An ER Model.mp4 14.7 MB
  • 118 01 What You'll Need.mp4 14.2 MB
  • 087 01 What Is Apache Spark.mp4 14.1 MB
  • 125 02 What Is A Relational Database.mp4 13.9 MB
  • 157 00 Project Preview.mp4 13.3 MB
  • 147 00 Project Preview.mp4 11.4 MB
  • 183 03 What You'll Need.mp4 11.3 MB
  • 181 01 Project Preview.mp4 9.8 MB
  • 127 01 How To Design Columns And Data Types.mp4 9.6 MB
  • 136 Course Overview.mp4 9.4 MB
  • 090 03B What You'll Need.mp4 9.1 MB
  • 089 03A What Is A Dataframe.mp4 9.0 MB
  • 117 00 Course Overview.mp4 8.3 MB
  • 170 01 What You'll Need.mp4 7.9 MB
  • 088 02 What Are Resilient Distributed Datasets.mp4 7.8 MB
  • 091 Source-Files.zip 3.1 MB
  • 184 Source-Files.zip 2.1 MB
  • 129 Source-files.zip 1.9 MB
  • 119 Source-files.zip 1.8 MB
  • 121 Source-Files.zip 1.7 MB
  • 126 Source-Files.zip 1.7 MB
  • 171 Source-Files.zip 1.5 MB
  • 062 Project-Files-Data-Wrangling-with-Mammoth-Interactive.zip 824.3 kB
  • 077 Mining-and-Storing-with-Mammoth-Interactive.zip 773.9 kB
  • 123 Source-Files.zip 584.1 kB
  • 060 Project-Files-Data-Mining-with-Mammoth-Interactive.zip 546.7 kB
  • 067 Project-Files-Data-Mining-fundamentals-with-Mammoth-Interactive.zip 546.7 kB
  • 040 Pyplot-Code.zip 278.2 kB
  • 083 Project-Files-NLP-with-Mammoth-Interactive.zip 216.1 kB
  • 112 Source-Files.zip 197.7 kB
  • 072 Project-Files-Frameworks-with-Mammoth-Interactive.zip 125.6 kB
  • 028 Python-Language-Basics.zip 104.7 kB
  • 061 Data Wrangling Demystified_en.srt 87.0 kB
  • 058 Source-Files.zip 76.0 kB
  • 099 Source-Files.zip 60.8 kB
  • 053 12. Dataframe Modification_en.srt 59.8 kB
  • 064 02. Classification and Regression_en.srt 46.6 kB
  • 051 10. Getting Elements From Dataframes_en.srt 41.7 kB
  • 068 01. Apache Spark - An Overview Of The Framework_en.srt 40.5 kB
  • 050 09. Creating Pandas Dataframes_en.srt 37.2 kB
  • 006 Operators Examples_en.srt 35.3 kB
  • 066 04. Dimensionality Reduction_en.srt 35.0 kB
  • 054 13. Dataframe Operations_en.srt 34.5 kB
  • 044 03. Creating Pandas Series_en.srt 34.4 kB
  • 193 01 Build A Dataset_en.srt 33.7 kB
  • 102 02 Tokenize Text Data_en.srt 32.3 kB
  • 003 Variables_en.srt 32.3 kB
  • 046 05. Getting Elements From Series_en.srt 31.9 kB
  • 048 07. Modifying Series_en.srt 30.1 kB
  • 052 11. Getting Properties From Dataframes_en.srt 29.9 kB
  • 069 02. Spark Key Functions_en.srt 29.1 kB
  • 025 Inheritance Examples_en.srt 29.0 kB
  • 055 14 Dataframe Comparisons And Iteration_en.srt 26.2 kB
  • 156 09-Source-Files.zip 25.5 kB
  • 063 01. Cluster Analysis_en.srt 24.8 kB
  • 011 Dictionaries Examples_en.srt 24.3 kB
  • 021 Parameters And Return Values Examples_en.srt 23.2 kB
  • 023 Classes Example_en.srt 22.9 kB
  • 047 06. Getting Properties Of Series_en.srt 21.5 kB
  • 073 01. Text Mining_en.srt 21.1 kB
  • 056 15. Reading CSVs_en.srt 20.1 kB
  • 195 03 Compute Support And Confidence For All Channels_en.srt 19.8 kB
  • 008 Lists_en.srt 19.7 kB
  • 049 08. Operations On Series_en.srt 19.7 kB
  • 017 While Loops Examples_en.srt 19.1 kB
  • 015 If Statement Variants Examples_en.srt 18.8 kB
  • 045 04. Date Ranges_en.srt 18.8 kB
  • 076 04. SQL_en.srt 18.4 kB
  • 018 For Loops Examples_en.srt 18.4 kB
  • 101 01 Convert Csv File To A Python List_en.srt 18.2 kB
  • 097 09 Perform Dataframe Queries_en.srt 18.2 kB
  • 033 04. Customizing Graphs_en.srt 18.1 kB
  • 172 02 Build An HTML Webpage To Scrape_en.srt 18.0 kB
  • 014 If Statement Examples_en.srt 17.9 kB
  • 004 Type Conversion Examples_en.srt 17.6 kB
  • 113 01 Find Relationships Between Numerical Features_en.srt 17.6 kB
  • 026 Static Members Example_en.srt 17.4 kB
  • 022 Classes and Objects_en.srt 17.4 kB
  • 024 Objects Examples_en.srt 17.1 kB
  • 065 03. Association and Correlation_en.srt 16.4 kB
  • 037 08. Histogram_en.srt 16.2 kB
  • 185 01 Build A Dash App_en.srt 15.9 kB
  • 020 Functions Examples_en.srt 15.7 kB
  • 161 04 Compare Returns Of Different Stocks_en.srt 15.2 kB
  • 139 03 Visualize Data With Different Plots_en.srt 15.1 kB
  • 103 03 Find Most Popular Lemmatized Words_en.srt 15.1 kB
  • 190 03 Build A Chart With Altair_en.srt 15.0 kB
  • 196 04 Determine Which Videos Are Best To Recommend_en.srt 14.9 kB
  • 010 Tuples Examples_en.srt 14.6 kB
  • 012 Ranges Examples_en.srt 14.5 kB
  • 080 03. NLP Example with Spam_en.srt 14.5 kB
  • 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y_en.srt 14.3 kB
  • 036 07. Pie Chart_en.srt 14.3 kB
  • 111 04 Analyze Categorical Features_en.srt 14.2 kB
  • 186 02 Build A Graph In The Dash App_en.srt 14.1 kB
  • 148 01 Load Crypto Prices Dataset_en.srt 14.1 kB
  • 007 Collections_en.srt 13.7 kB
  • 059 Introduction to Data Mining_en.srt 13.7 kB
  • 074 02. Network Mining_en.srt 13.6 kB
  • 034 05. Plotting Multiple Datasets_en.srt 13.5 kB
  • 009 Multidimensional List Examples_en.srt 13.4 kB
  • 137 01 Load And Create Data_en.srt 13.3 kB
  • 108 01 Load A Dataset_en.srt 13.3 kB
  • 133 04 Build A Second Table For Cross-Referencing_en.srt 13.1 kB
  • 158 01 Fetch Stock Data_en.srt 13.0 kB
  • 189 02 Build The Layout_en.srt 13.0 kB
  • 032 03. Basic Line Plot_en.srt 12.9 kB
  • 019 Functions_en.srt 12.8 kB
  • 153 06 Predict Monthly Trend_en.srt 12.3 kB
  • 135 Source-files.zip 12.0 kB
  • 105 05 Plot Word Frequency_en.srt 12.0 kB
  • 079 02. Count Vectorizer_en.srt 12.0 kB
  • 042 01. Intro To Pandas_en.srt 12.0 kB
  • 162 05 Compare Closing Prices_en.srt 11.8 kB
  • 106 Source-Files.zip 11.6 kB
  • 166 03 Monte Carlo Analysis To Estimate Risk_en.srt 11.6 kB
  • 016 Loops_en.srt 11.4 kB
  • 167 04 Visualize Price Distribution_en.srt 11.3 kB
  • 151 04 Analyze Model Performance_en.srt 11.1 kB
  • 114 02 Find Relationships Between Categorical Features_en.srt 11.1 kB
  • 005 Operators_en.srt 11.0 kB
  • 110 03 Analyze Numerical Features_en.srt 10.7 kB
  • 035 06. Bar Chart_en.srt 10.6 kB
  • 013 Conditionals_en.srt 10.5 kB
  • 146 Source-Files.zip 10.4 kB
  • 115 03 Build Conditional Plots_en.srt 10.4 kB
  • 144 08 Rank Feature Importance_en.srt 10.2 kB
  • 145 09 Compare Positive And Negative Returns_en.srt 10.2 kB
  • 075 03. Matrix_en.srt 10.1 kB
  • 159 02 Visualize Stock Data Features_en.srt 9.8 kB
  • 070 03. Spark Machine Learning_en.srt 9.8 kB
  • 124 01 What Is A Database_en.srt 9.7 kB
  • 038 09. 3D Plotting_en.srt 9.6 kB
  • 078 01 NLP Data Cleaning_en.srt 9.6 kB
  • 175 05 Work With Tags_en.srt 9.4 kB
  • 031 02. Installing Matplotlib_en.srt 9.1 kB
  • 096 08 Perform Dataframe Math Operations_en.srt 9.1 kB
  • 155 08 Compare Final Stock Price Of Different Strategies_en.srt 9.0 kB
  • 130 01 Build A SQLite Database With Python_en.srt 9.0 kB
  • 043 02. Installing Pandas_en.srt 8.9 kB
  • 041 00. Panda Course Introduction_en.srt 8.8 kB
  • 128 02 Use Normal Forms To Check Your Design_en.srt 8.8 kB
  • 140 04 Analyze Features With More Plots_en.srt 8.7 kB
  • 178 08 Navigate HTML Contents_en.srt 8.6 kB
  • 098 10 Build SQL Queries With Spark_en.srt 8.6 kB
  • 169 00 What Is Web Scraping_en.srt 8.5 kB
  • 029 00. Course Intro_en.srt 8.5 kB
  • 150 03 Predict Price With Facebook Prophet_en.srt 8.3 kB
  • 002 Intro To Python_en.srt 8.3 kB
  • 071 04. EXAMPLES - Using The Machine Learning Pipeline_en.srt 8.3 kB
  • 142 06 Build A Bokeh Plot_en.srt 8.1 kB
  • 134 05 Select Rows That Meet Conditions_en.srt 8.1 kB
  • 093 05 Load Data As A CSV_en.srt 7.8 kB
  • 154 07 Predict Weekly Trend_en.srt 7.6 kB
  • 131 02 Add An Entry To The Table With SQL_en.srt 7.5 kB
  • 001 Introduction_en.srt 7.5 kB
  • 081 04. Tweak Model with Spam Data_en.srt 7.4 kB
  • 173 03 Select Data Structures From A Webpage_en.srt 7.3 kB
  • 030 01. Intro To Pyplot_en.srt 7.3 kB
  • 174 04 Extract URLs And Text_en.srt 7.3 kB
  • 132 03 Add More Records To The Table_en.srt 7.2 kB
  • 180 Source-Files.zip 6.9 kB
  • 120 01 Why You Must Know How To Work With Data_en.srt 6.9 kB
  • 164 01 Visualize Standard Deviation And Expected Returns_en.srt 6.8 kB
  • 188 01 Load Data From Vega Datasets_en.srt 6.8 kB
  • 177 07 Add Navigation To A String_en.srt 6.7 kB
  • 141 05 Build Plots With Seaborn_en.srt 6.7 kB
  • 122 01 How To Read An ER Model_en.srt 6.6 kB
  • 176 06 Work With Attributes_en.srt 6.4 kB
  • 095 07 Format Dataframe Table_en.srt 6.4 kB
  • 082 05. Pipeline with Spam Data_en.srt 6.3 kB
  • 057 16.summary And Outro_en.srt 6.3 kB
  • 027 Summary and Outro_en.srt 6.3 kB
  • 149 02 Visualize Bitcoin Price Trend_en.srt 6.2 kB
  • 084 06. Conclusion and Challenge_en.srt 6.1 kB
  • 039 10. Course Outro_en.srt 6.1 kB
  • 168 Source-Files.zip 6.1 kB
  • 107 00 Project Preview_en.srt 6.0 kB
  • 179 09 Find All Filter_en.srt 5.9 kB
  • 197 Source-Files.zip 5.5 kB
  • 136 Course Overview_en.srt 5.4 kB
  • 094 06 Perform Basic Dataframe Operations_en.srt 5.3 kB
  • 092 04 Start A Spark Session_en.srt 5.2 kB
  • 182 02 What Is Plotly And Dash_en.srt 5.2 kB
  • 160 03 Calculate Daily Return_en.srt 5.1 kB
  • 125 02 What Is A Relational Database_en.srt 5.1 kB
  • 100 00 Project Preview_en.srt 5.0 kB
  • 104 04 Build Dataframes Per Part Of Speech_en.srt 4.9 kB
  • 165 02 Calculate Value At Risk_en.srt 4.8 kB
  • 143 07 Build A 3D Scatter Plot_en.srt 4.8 kB
  • 138 02 Perform Exploratory Data Analysis_en.srt 4.7 kB
  • 152 05 Visualize Model Results_en.srt 4.6 kB
  • 157 00 Project Preview_en.srt 4.6 kB
  • 192 01 Project Preview_en.srt 4.5 kB
  • 147 00 Project Preview_en.srt 4.5 kB
  • 163 Source-Files.zip 4.0 kB
  • 116 Source-Files.zip 4.0 kB
  • 109 02 Analyze The Main Feature_en.srt 3.9 kB
  • 118 01 What You'll Need_en.srt 3.7 kB
  • 127 01 How To Design Columns And Data Types_en.srt 3.7 kB
  • 086 00 Project Preview_en.srt 3.3 kB
  • 087 01 What Is Apache Spark_en.srt 3.3 kB
  • 183 03 What You'll Need_en.srt 3.0 kB
  • 117 00 Course Overview_en.srt 2.5 kB
  • 191 Source-Files.zip 2.5 kB
  • 089 03A What Is A Dataframe_en.srt 2.3 kB
  • 090 03B What You'll Need_en.srt 2.3 kB
  • 181 01 Project Preview_en.srt 2.1 kB
  • 170 01 What You'll Need_en.srt 2.1 kB
  • 088 02 What Are Resilient Distributed Datasets_en.srt 1.4 kB
  • 187 Source-Files.zip 1.4 kB
  • 085 07-Conclusion-Files-Mammoth-Interactive.zip 758 Bytes
  • 028 Source Code.html 27 Bytes
  • 040 Source Code.html 27 Bytes
  • 058 Source Files.html 27 Bytes
  • 060 Project Files - Data Mining with Mammoth Interactive.html 27 Bytes
  • 062 Project Files - Data Wrangling with Mammoth Interactive.html 27 Bytes
  • 067 Project Files - Data Mining fundamentals with Mammoth Interactive.html 27 Bytes
  • 072 Project Files - Frameworks with Mammoth Interactive.html 27 Bytes
  • 077 Mining and Storing with Mammoth Interactive.html 27 Bytes
  • 083 Project Files - NLP with Mammoth Interactive.html 27 Bytes
  • 085 07 Conclusion Files - Mammoth Interactive.html 27 Bytes
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