Udemy - Complete Python & Data Science Course for Absolute Beginners 收录时间:2022-02-07 00:29:37 文件大小:11GB 下载次数:1 最近下载:2022-02-07 00:29:37 磁力链接: magnet:?xt=urn:btih:a406d2d68fe3b3ae081b10ce35ccfa06b92dac5b 立即下载 复制链接 文件列表 061 Data Wrangling Demystified.mp4 576MB 064 02. Classification and Regression.mp4 301MB 066 04. Dimensionality Reduction.mp4 272MB 053 12. Dataframe Modification.mp4 241MB 063 01. Cluster Analysis.mp4 232MB 068 01. Apache Spark - An Overview Of The Framework.mp4 228MB 069 02. Spark Key Functions.mp4 194MB 102 02 Tokenize Text Data.mp4 169MB 073 01. Text Mining.mp4 161MB 193 01 Build A Dataset.mp4 141MB 051 10. Getting Elements From Dataframes.mp4 141MB 050 09. Creating Pandas Dataframes.mp4 140MB 025 Inheritance Examples.mp4 133MB 076 04. SQL.mp4 127MB 006 Operators Examples.mp4 127MB 065 03. Association and Correlation.mp4 124MB 044 03. Creating Pandas Series.mp4 123MB 054 13. Dataframe Operations.mp4 119MB 052 11. Getting Properties From Dataframes.mp4 112MB 003 Variables.mp4 108MB 074 02. Network Mining.mp4 107MB 048 07. Modifying Series.mp4 103MB 046 05. Getting Elements From Series.mp4 102MB 185 01 Build A Dash App.mp4 99MB 080 03. NLP Example with Spam.mp4 98MB 101 01 Convert Csv File To A Python List.mp4 96MB 055 14 Dataframe Comparisons And Iteration.mp4 93MB 103 03 Find Most Popular Lemmatized Words.mp4 93MB 195 03 Compute Support And Confidence For All Channels.mp4 92MB 070 03. Spark Machine Learning.mp4 91MB 011 Dictionaries Examples.mp4 91MB 097 09 Perform Dataframe Queries.mp4 88MB 024 Objects Examples.mp4 86MB 033 04. Customizing Graphs.mp4 85MB 172 02 Build An HTML Webpage To Scrape.mp4 84MB 026 Static Members Example.mp4 83MB 021 Parameters And Return Values Examples.mp4 82MB 056 15. Reading CSVs.mp4 80MB 023 Classes Example.mp4 79MB 059 Introduction to Data Mining.mp4 79MB 022 Classes and Objects.mp4 79MB 079 02. Count Vectorizer.mp4 78MB 186 02 Build A Graph In The Dash App.mp4 78MB 078 01 NLP Data Cleaning.mp4 77MB 133 04 Build A Second Table For Cross-Referencing.mp4 75MB 151 04 Analyze Model Performance.mp4 75MB 015 If Statement Variants Examples.mp4 74MB 161 04 Compare Returns Of Different Stocks.mp4 73MB 008 Lists.mp4 73MB 071 04. EXAMPLES - Using The Machine Learning Pipeline.mp4 73MB 018 For Loops Examples.mp4 72MB 190 03 Build A Chart With Altair.mp4 72MB 108 01 Load A Dataset.mp4 72MB 047 06. Getting Properties Of Series.mp4 71MB 034 05. Plotting Multiple Datasets.mp4 70MB 113 01 Find Relationships Between Numerical Features.mp4 69MB 196 04 Determine Which Videos Are Best To Recommend.mp4 68MB 075 03. Matrix.mp4 67MB 137 01 Load And Create Data.mp4 67MB 017 While Loops Examples.mp4 66MB 049 08. Operations On Series.mp4 65MB 037 08. Histogram.mp4 65MB 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4 65MB 004 Type Conversion Examples.mp4 64MB 045 04. Date Ranges.mp4 63MB 096 08 Perform Dataframe Math Operations.mp4 63MB 153 06 Predict Monthly Trend.mp4 62MB 081 04. Tweak Model with Spam Data.mp4 62MB 178 08 Navigate HTML Contents.mp4 61MB 036 07. Pie Chart.mp4 61MB 084 06. Conclusion and Challenge.mp4 61MB 167 04 Visualize Price Distribution.mp4 60MB 148 01 Load Crypto Prices Dataset.mp4 60MB 110 03 Analyze Numerical Features.mp4 59MB 032 03. Basic Line Plot.mp4 58MB 105 05 Plot Word Frequency.mp4 58MB 012 Ranges Examples.mp4 58MB 158 01 Fetch Stock Data.mp4 58MB 139 03 Visualize Data With Different Plots.mp4 58MB 014 If Statement Examples.mp4 57MB 010 Tuples Examples.mp4 56MB 162 05 Compare Closing Prices.mp4 56MB 189 02 Build The Layout.mp4 56MB 019 Functions.mp4 55MB 111 04 Analyze Categorical Features.mp4 54MB 166 03 Monte Carlo Analysis To Estimate Risk.mp4 52MB 007 Collections.mp4 52MB 038 09. 3D Plotting.mp4 51MB 020 Functions Examples.mp4 51MB 042 01. Intro To Pandas.mp4 50MB 016 Loops.mp4 50MB 082 05. Pipeline with Spam Data.mp4 50MB 114 02 Find Relationships Between Categorical Features.mp4 49MB 115 03 Build Conditional Plots.mp4 49MB 159 02 Visualize Stock Data Features.mp4 48MB 009 Multidimensional List Examples.mp4 48MB 134 05 Select Rows That Meet Conditions.mp4 47MB 013 Conditionals.mp4 47MB 005 Operators.mp4 46MB 035 06. Bar Chart.mp4 46MB 098 10 Build SQL Queries With Spark.mp4 44MB 155 08 Compare Final Stock Price Of Different Strategies.mp4 43MB 093 05 Load Data As A CSV.mp4 41MB 002 Intro To Python.mp4 40MB 144 08 Rank Feature Importance.mp4 40MB 041 00. Panda Course Introduction.mp4 39MB 150 03 Predict Price With Facebook Prophet.mp4 39MB 095 07 Format Dataframe Table.mp4 39MB 174 04 Extract URLs And Text.mp4 39MB 175 05 Work With Tags.mp4 39MB 142 06 Build A Bokeh Plot.mp4 37MB 154 07 Predict Weekly Trend.mp4 37MB 001 Introduction.mp4 36MB 031 02. Installing Matplotlib.mp4 36MB 043 02. Installing Pandas.mp4 36MB 145 09 Compare Positive And Negative Returns.mp4 35MB 141 05 Build Plots With Seaborn.mp4 35MB 030 01. Intro To Pyplot.mp4 35MB 140 04 Analyze Features With More Plots.mp4 35MB 029 00. Course Intro.mp4 35MB 132 03 Add More Records To The Table.mp4 35MB 173 03 Select Data Structures From A Webpage.mp4 35MB 130 01 Build A SQLite Database With Python.mp4 34MB 104 04 Build Dataframes Per Part Of Speech.mp4 34MB 188 01 Load Data From Vega Datasets.mp4 33MB 131 02 Add An Entry To The Table With SQL.mp4 33MB 057 16.summary And Outro.mp4 33MB 179 09 Find All Filter.mp4 32MB 094 06 Perform Basic Dataframe Operations.mp4 32MB 027 Summary and Outro.mp4 29MB 138 02 Perform Exploratory Data Analysis.mp4 27MB 128 02 Use Normal Forms To Check Your Design.mp4 27MB 164 01 Visualize Standard Deviation And Expected Returns.mp4 27MB 152 05 Visualize Model Results.mp4 27MB 039 10. Course Outro.mp4 27MB 086 00 Project Preview.mp4 26MB 177 07 Add Navigation To A String.mp4 24MB 160 03 Calculate Daily Return.mp4 24MB 176 06 Work With Attributes.mp4 24MB 092 04 Start A Spark Session.mp4 24MB 149 02 Visualize Bitcoin Price Trend.mp4 23MB 169 00 What Is Web Scraping.mp4 22MB 124 01 What Is A Database.mp4 22MB 165 02 Calculate Value At Risk.mp4 21MB 143 07 Build A 3D Scatter Plot.mp4 20MB 100 00 Project Preview.mp4 20MB 182 02 What Is Plotly And Dash.mp4 19MB 107 00 Project Preview.mp4 17MB 109 02 Analyze The Main Feature.mp4 16MB 192 01 Project Preview.mp4 16MB 120 01 Why You Must Know How To Work With Data.mp4 16MB 122 01 How To Read An ER Model.mp4 14MB 118 01 What You'll Need.mp4 14MB 087 01 What Is Apache Spark.mp4 13MB 125 02 What Is A Relational Database.mp4 13MB 157 00 Project Preview.mp4 13MB 147 00 Project Preview.mp4 11MB 183 03 What You'll Need.mp4 11MB 181 01 Project Preview.mp4 9MB 127 01 How To Design Columns And Data Types.mp4 9MB 136 Course Overview.mp4 9MB 090 03B What You'll Need.mp4 9MB 089 03A What Is A Dataframe.mp4 9MB 117 00 Course Overview.mp4 8MB 170 01 What You'll Need.mp4 7MB 088 02 What Are Resilient Distributed Datasets.mp4 7MB 091 Source-Files.zip 3MB 184 Source-Files.zip 2MB 129 Source-files.zip 2MB 119 Source-files.zip 2MB 121 Source-Files.zip 2MB 126 Source-Files.zip 2MB 171 Source-Files.zip 1MB 062 Project-Files-Data-Wrangling-with-Mammoth-Interactive.zip 805KB 077 Mining-and-Storing-with-Mammoth-Interactive.zip 756KB 123 Source-Files.zip 570KB 060 Project-Files-Data-Mining-with-Mammoth-Interactive.zip 534KB 067 Project-Files-Data-Mining-fundamentals-with-Mammoth-Interactive.zip 534KB 040 Pyplot-Code.zip 272KB 083 Project-Files-NLP-with-Mammoth-Interactive.zip 211KB 112 Source-Files.zip 193KB 072 Project-Files-Frameworks-with-Mammoth-Interactive.zip 123KB 028 Python-Language-Basics.zip 102KB 061 Data Wrangling Demystified_en.srt 85KB 058 Source-Files.zip 74KB 099 Source-Files.zip 59KB 053 12. Dataframe Modification_en.srt 58KB 064 02. Classification and Regression_en.srt 45KB 051 10. Getting Elements From Dataframes_en.srt 41KB 068 01. Apache Spark - An Overview Of The Framework_en.srt 40KB 050 09. Creating Pandas Dataframes_en.srt 36KB 006 Operators Examples_en.srt 35KB 066 04. Dimensionality Reduction_en.srt 34KB 054 13. Dataframe Operations_en.srt 34KB 044 03. Creating Pandas Series_en.srt 34KB 193 01 Build A Dataset_en.srt 33KB 102 02 Tokenize Text Data_en.srt 32KB 003 Variables_en.srt 32KB 046 05. Getting Elements From Series_en.srt 31KB 048 07. Modifying Series_en.srt 29KB 052 11. Getting Properties From Dataframes_en.srt 29KB 069 02. Spark Key Functions_en.srt 28KB 025 Inheritance Examples_en.srt 28KB 055 14 Dataframe Comparisons And Iteration_en.srt 26KB 156 09-Source-Files.zip 25KB 063 01. Cluster Analysis_en.srt 24KB 011 Dictionaries Examples_en.srt 24KB 021 Parameters And Return Values Examples_en.srt 23KB 023 Classes Example_en.srt 22KB 047 06. Getting Properties Of Series_en.srt 21KB 073 01. Text Mining_en.srt 21KB 056 15. Reading CSVs_en.srt 20KB 195 03 Compute Support And Confidence For All Channels_en.srt 19KB 008 Lists_en.srt 19KB 049 08. Operations On Series_en.srt 19KB 017 While Loops Examples_en.srt 19KB 015 If Statement Variants Examples_en.srt 18KB 045 04. Date Ranges_en.srt 18KB 076 04. SQL_en.srt 18KB 018 For Loops Examples_en.srt 18KB 101 01 Convert Csv File To A Python List_en.srt 18KB 097 09 Perform Dataframe Queries_en.srt 18KB 033 04. Customizing Graphs_en.srt 18KB 172 02 Build An HTML Webpage To Scrape_en.srt 18KB 014 If Statement Examples_en.srt 18KB 004 Type Conversion Examples_en.srt 17KB 113 01 Find Relationships Between Numerical Features_en.srt 17KB 026 Static Members Example_en.srt 17KB 022 Classes and Objects_en.srt 17KB 024 Objects Examples_en.srt 17KB 065 03. Association and Correlation_en.srt 16KB 037 08. Histogram_en.srt 16KB 185 01 Build A Dash App_en.srt 16KB 020 Functions Examples_en.srt 15KB 161 04 Compare Returns Of Different Stocks_en.srt 15KB 139 03 Visualize Data With Different Plots_en.srt 15KB 103 03 Find Most Popular Lemmatized Words_en.srt 15KB 190 03 Build A Chart With Altair_en.srt 15KB 196 04 Determine Which Videos Are Best To Recommend_en.srt 15KB 010 Tuples Examples_en.srt 14KB 012 Ranges Examples_en.srt 14KB 080 03. NLP Example with Spam_en.srt 14KB 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y_en.srt 14KB 036 07. Pie Chart_en.srt 14KB 111 04 Analyze Categorical Features_en.srt 14KB 186 02 Build A Graph In The Dash App_en.srt 14KB 148 01 Load Crypto Prices Dataset_en.srt 14KB 007 Collections_en.srt 13KB 059 Introduction to Data Mining_en.srt 13KB 074 02. Network Mining_en.srt 13KB 034 05. Plotting Multiple Datasets_en.srt 13KB 009 Multidimensional List Examples_en.srt 13KB 137 01 Load And Create Data_en.srt 13KB 108 01 Load A Dataset_en.srt 13KB 133 04 Build A Second Table For Cross-Referencing_en.srt 13KB 158 01 Fetch Stock Data_en.srt 13KB 189 02 Build The Layout_en.srt 13KB 032 03. Basic Line Plot_en.srt 13KB 019 Functions_en.srt 13KB 153 06 Predict Monthly Trend_en.srt 12KB 135 Source-files.zip 12KB 105 05 Plot Word Frequency_en.srt 12KB 079 02. Count Vectorizer_en.srt 12KB 042 01. Intro To Pandas_en.srt 12KB 162 05 Compare Closing Prices_en.srt 11KB 106 Source-Files.zip 11KB 166 03 Monte Carlo Analysis To Estimate Risk_en.srt 11KB 016 Loops_en.srt 11KB 167 04 Visualize Price Distribution_en.srt 11KB 151 04 Analyze Model Performance_en.srt 11KB 114 02 Find Relationships Between Categorical Features_en.srt 11KB 005 Operators_en.srt 11KB 110 03 Analyze Numerical Features_en.srt 10KB 035 06. Bar Chart_en.srt 10KB 013 Conditionals_en.srt 10KB 146 Source-Files.zip 10KB 115 03 Build Conditional Plots_en.srt 10KB 144 08 Rank Feature Importance_en.srt 10KB 145 09 Compare Positive And Negative Returns_en.srt 10KB 075 03. Matrix_en.srt 10KB 159 02 Visualize Stock Data Features_en.srt 10KB 070 03. Spark Machine Learning_en.srt 10KB 124 01 What Is A Database_en.srt 9KB 038 09. 3D Plotting_en.srt 9KB 078 01 NLP Data Cleaning_en.srt 9KB 175 05 Work With Tags_en.srt 9KB 031 02. Installing Matplotlib_en.srt 9KB 096 08 Perform Dataframe Math Operations_en.srt 9KB 155 08 Compare Final Stock Price Of Different Strategies_en.srt 9KB 130 01 Build A SQLite Database With Python_en.srt 9KB 043 02. Installing Pandas_en.srt 9KB 041 00. Panda Course Introduction_en.srt 9KB 128 02 Use Normal Forms To Check Your Design_en.srt 9KB 140 04 Analyze Features With More Plots_en.srt 8KB 178 08 Navigate HTML Contents_en.srt 8KB 098 10 Build SQL Queries With Spark_en.srt 8KB 169 00 What Is Web Scraping_en.srt 8KB 029 00. Course Intro_en.srt 8KB 150 03 Predict Price With Facebook Prophet_en.srt 8KB 002 Intro To Python_en.srt 8KB 071 04. EXAMPLES - Using The Machine Learning Pipeline_en.srt 8KB 142 06 Build A Bokeh Plot_en.srt 8KB 134 05 Select Rows That Meet Conditions_en.srt 8KB 093 05 Load Data As A CSV_en.srt 8KB 154 07 Predict Weekly Trend_en.srt 7KB 131 02 Add An Entry To The Table With SQL_en.srt 7KB 001 Introduction_en.srt 7KB 081 04. Tweak Model with Spam Data_en.srt 7KB 173 03 Select Data Structures From A Webpage_en.srt 7KB 030 01. Intro To Pyplot_en.srt 7KB 174 04 Extract URLs And Text_en.srt 7KB 132 03 Add More Records To The Table_en.srt 7KB 180 Source-Files.zip 7KB 120 01 Why You Must Know How To Work With Data_en.srt 7KB 164 01 Visualize Standard Deviation And Expected Returns_en.srt 7KB 188 01 Load Data From Vega Datasets_en.srt 7KB 177 07 Add Navigation To A String_en.srt 7KB 141 05 Build Plots With Seaborn_en.srt 7KB 122 01 How To Read An ER Model_en.srt 6KB 176 06 Work With Attributes_en.srt 6KB 095 07 Format Dataframe Table_en.srt 6KB 082 05. Pipeline with Spam Data_en.srt 6KB 057 16.summary And Outro_en.srt 6KB 027 Summary and Outro_en.srt 6KB 149 02 Visualize Bitcoin Price Trend_en.srt 6KB 084 06. Conclusion and Challenge_en.srt 6KB 039 10. Course Outro_en.srt 6KB 168 Source-Files.zip 6KB 107 00 Project Preview_en.srt 6KB 179 09 Find All Filter_en.srt 6KB 197 Source-Files.zip 5KB 136 Course Overview_en.srt 5KB 094 06 Perform Basic Dataframe Operations_en.srt 5KB 092 04 Start A Spark Session_en.srt 5KB 182 02 What Is Plotly And Dash_en.srt 5KB 160 03 Calculate Daily Return_en.srt 5KB 125 02 What Is A Relational Database_en.srt 5KB 100 00 Project Preview_en.srt 5KB 104 04 Build Dataframes Per Part Of Speech_en.srt 5KB 165 02 Calculate Value At Risk_en.srt 5KB 143 07 Build A 3D Scatter Plot_en.srt 5KB 138 02 Perform Exploratory Data Analysis_en.srt 5KB 152 05 Visualize Model Results_en.srt 4KB 157 00 Project Preview_en.srt 4KB 192 01 Project Preview_en.srt 4KB 147 00 Project Preview_en.srt 4KB 163 Source-Files.zip 4KB 116 Source-Files.zip 4KB 109 02 Analyze The Main Feature_en.srt 4KB 118 01 What You'll Need_en.srt 4KB 127 01 How To Design Columns And Data Types_en.srt 4KB 086 00 Project Preview_en.srt 3KB 087 01 What Is Apache Spark_en.srt 3KB 183 03 What You'll Need_en.srt 3KB 117 00 Course Overview_en.srt 2KB 191 Source-Files.zip 2KB 089 03A What Is A Dataframe_en.srt 2KB 090 03B What You'll Need_en.srt 2KB 181 01 Project Preview_en.srt 2KB 170 01 What You'll Need_en.srt 2KB 088 02 What Are Resilient Distributed Datasets_en.srt 1KB 187 Source-Files.zip 1KB 085 07-Conclusion-Files-Mammoth-Interactive.zip 758B 028 Source Code.html 27B 040 Source Code.html 27B 058 Source Files.html 27B 060 Project Files - Data Mining with Mammoth Interactive.html 27B 062 Project Files - Data Wrangling with Mammoth Interactive.html 27B 067 Project Files - Data Mining fundamentals with Mammoth Interactive.html 27B 072 Project Files - Frameworks with Mammoth Interactive.html 27B 077 Mining and Storing with Mammoth Interactive.html 27B 083 Project Files - NLP with Mammoth Interactive.html 27B 085 07 Conclusion Files - Mammoth Interactive.html 27B 091 Source Files.html 27B 099 Source Files.html 27B 106 Source Files.html 27B 112 Source Files.html 27B 116 Source Files.html 27B 119 Source files.html 27B 121 Source files.html 27B 123 Source files.html 27B 126 Source files.html 27B 129 Source files.html 27B 135 Source files.html 27B 146 Source Files.html 27B 156 Source Files.html 27B 163 Source Files.html 27B 168 Source Files.html 27B 171 Source Files.html 27B 180 Source Files.html 27B 184 Source Files.html 27B 187 Source Files.html 27B 191 Source Files.html 27B 197 Source Files.html 27B
