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Название Udemy - Complete Python & Data Science Course for Absolute Beginners
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Размер 10.74Гб

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001 Introduction_en.srt 7.32Кб
001 Introduction.mp4 36.23Мб
002 Intro To Python_en.srt 8.12Кб
002 Intro To Python.mp4 40.40Мб
003 Variables_en.srt 31.55Кб
003 Variables.mp4 108.02Мб
004 Type Conversion Examples_en.srt 17.17Кб
004 Type Conversion Examples.mp4 63.79Мб
005 Operators_en.srt 10.69Кб
005 Operators.mp4 46.46Мб
006 Operators Examples_en.srt 34.51Кб
006 Operators Examples.mp4 126.57Мб
007 Collections_en.srt 13.36Кб
007 Collections.mp4 51.61Мб
008 Lists_en.srt 19.28Кб
008 Lists.mp4 73.31Мб
009 Multidimensional List Examples_en.srt 13.12Кб
009 Multidimensional List Examples.mp4 47.68Мб
010 Tuples Examples_en.srt 14.21Кб
010 Tuples Examples.mp4 56.36Мб
011 Dictionaries Examples_en.srt 23.76Кб
011 Dictionaries Examples.mp4 90.91Мб
012 Ranges Examples_en.srt 14.17Кб
012 Ranges Examples.mp4 57.60Мб
013 Conditionals_en.srt 10.29Кб
013 Conditionals.mp4 46.77Мб
014 If Statement Examples_en.srt 17.52Кб
014 If Statement Examples.mp4 56.84Мб
015 If Statement Variants Examples_en.srt 18.38Кб
015 If Statement Variants Examples.mp4 73.77Мб
016 Loops_en.srt 11.17Кб
016 Loops.mp4 49.95Мб
017 While Loops Examples_en.srt 18.65Кб
017 While Loops Examples.mp4 65.87Мб
018 For Loops Examples_en.srt 17.95Кб
018 For Loops Examples.mp4 72.16Мб
019 Functions_en.srt 12.51Кб
019 Functions.mp4 54.59Мб
020 Functions Examples_en.srt 15.32Кб
020 Functions Examples.mp4 51.34Мб
021 Parameters And Return Values Examples_en.srt 22.68Кб
021 Parameters And Return Values Examples.mp4 82.30Мб
022 Classes and Objects_en.srt 16.95Кб
022 Classes and Objects.mp4 78.50Мб
023 Classes Example_en.srt 22.38Кб
023 Classes Example.mp4 78.80Мб
024 Objects Examples_en.srt 16.68Кб
024 Objects Examples.mp4 86.43Мб
025 Inheritance Examples_en.srt 28.32Кб
025 Inheritance Examples.mp4 133.38Мб
026 Static Members Example_en.srt 16.99Кб
026 Static Members Example.mp4 83.23Мб
027 Summary and Outro_en.srt 6.13Кб
027 Summary and Outro.mp4 29.29Мб
028 Python-Language-Basics.zip 102.21Кб
028 Source Code.html 27б
029 00. Course Intro_en.srt 8.26Кб
029 00. Course Intro.mp4 35.01Мб
030 01. Intro To Pyplot_en.srt 7.10Кб
030 01. Intro To Pyplot.mp4 35.12Мб
031 02. Installing Matplotlib_en.srt 8.89Кб
031 02. Installing Matplotlib.mp4 35.71Мб
032 03. Basic Line Plot_en.srt 12.59Кб
032 03. Basic Line Plot.mp4 58.30Мб
033 04. Customizing Graphs_en.srt 17.65Кб
033 04. Customizing Graphs.mp4 85.06Мб
034 05. Plotting Multiple Datasets_en.srt 13.14Кб
034 05. Plotting Multiple Datasets.mp4 70.29Мб
035 06. Bar Chart_en.srt 10.35Кб
035 06. Bar Chart.mp4 46.01Мб
036 07. Pie Chart_en.srt 13.97Кб
036 07. Pie Chart.mp4 61.22Мб
037 08. Histogram_en.srt 15.80Кб
037 08. Histogram.mp4 65.01Мб
038 09. 3D Plotting_en.srt 9.41Кб
038 09. 3D Plotting.mp4 51.39Мб
039 10. Course Outro_en.srt 5.94Кб
039 10. Course Outro.mp4 26.50Мб
040 Pyplot-Code.zip 271.70Кб
040 Source Code.html 27б
041 00. Panda Course Introduction_en.srt 8.61Кб
041 00. Panda Course Introduction.mp4 39.47Мб
042 01. Intro To Pandas_en.srt 11.67Кб
042 01. Intro To Pandas.mp4 50.33Мб
043 02. Installing Pandas_en.srt 8.71Кб
043 02. Installing Pandas.mp4 35.62Мб
044 03. Creating Pandas Series_en.srt 33.64Кб
044 03. Creating Pandas Series.mp4 123.10Мб
045 04. Date Ranges_en.srt 18.34Кб
045 04. Date Ranges.mp4 63.50Мб
046 05. Getting Elements From Series_en.srt 31.17Кб
046 05. Getting Elements From Series.mp4 102.44Мб
047 06. Getting Properties Of Series_en.srt 21.01Кб
047 06. Getting Properties Of Series.mp4 70.72Мб
048 07. Modifying Series_en.srt 29.40Кб
048 07. Modifying Series.mp4 103.27Мб
049 08. Operations On Series_en.srt 19.24Кб
049 08. Operations On Series.mp4 65.10Мб
050 09. Creating Pandas Dataframes_en.srt 36.32Кб
050 09. Creating Pandas Dataframes.mp4 140.11Мб
051 10. Getting Elements From Dataframes_en.srt 40.77Кб
051 10. Getting Elements From Dataframes.mp4 140.82Мб
052 11. Getting Properties From Dataframes_en.srt 29.16Кб
052 11. Getting Properties From Dataframes.mp4 111.67Мб
053 12. Dataframe Modification_en.srt 58.41Кб
053 12. Dataframe Modification.mp4 240.74Мб
054 13. Dataframe Operations_en.srt 33.66Кб
054 13. Dataframe Operations.mp4 119.06Мб
055 14 Dataframe Comparisons And Iteration_en.srt 25.54Кб
055 14 Dataframe Comparisons And Iteration.mp4 92.99Мб
056 15. Reading CSVs_en.srt 19.62Кб
056 15. Reading CSVs.mp4 79.86Мб
057 16.summary And Outro_en.srt 6.13Кб
057 16.summary And Outro.mp4 32.62Мб
058 Source Files.html 27б
058 Source-Files.zip 74.24Кб
059 Introduction to Data Mining_en.srt 13.34Кб
059 Introduction to Data Mining.mp4 78.62Мб
060 Project Files - Data Mining with Mammoth Interactive.html 27б
060 Project-Files-Data-Mining-with-Mammoth-Interactive.zip 533.93Кб
061 Data Wrangling Demystified_en.srt 84.94Кб
061 Data Wrangling Demystified.mp4 576.29Мб
062 Project Files - Data Wrangling with Mammoth Interactive.html 27б
062 Project-Files-Data-Wrangling-with-Mammoth-Interactive.zip 804.95Кб
063 01. Cluster Analysis_en.srt 24.22Кб
063 01. Cluster Analysis.mp4 232.15Мб
064 02. Classification and Regression_en.srt 45.48Кб
064 02. Classification and Regression.mp4 301.49Мб
065 03. Association and Correlation_en.srt 16.05Кб
065 03. Association and Correlation.mp4 124.10Мб
066 04. Dimensionality Reduction_en.srt 34.21Кб
066 04. Dimensionality Reduction.mp4 271.85Мб
067 Project Files - Data Mining fundamentals with Mammoth Interactive.html 27б
067 Project-Files-Data-Mining-fundamentals-with-Mammoth-Interactive.zip 533.93Кб
068 01. Apache Spark - An Overview Of The Framework_en.srt 39.55Кб
068 01. Apache Spark - An Overview Of The Framework.mp4 227.92Мб
069 02. Spark Key Functions_en.srt 28.37Кб
069 02. Spark Key Functions.mp4 193.57Мб
070 03. Spark Machine Learning_en.srt 9.55Кб
070 03. Spark Machine Learning.mp4 91.07Мб
071 04. EXAMPLES - Using The Machine Learning Pipeline_en.srt 8.11Кб
071 04. EXAMPLES - Using The Machine Learning Pipeline.mp4 72.51Мб
072 Project Files - Frameworks with Mammoth Interactive.html 27б
072 Project-Files-Frameworks-with-Mammoth-Interactive.zip 122.62Кб
073 01. Text Mining_en.srt 20.57Кб
073 01. Text Mining.mp4 160.72Мб
074 02. Network Mining_en.srt 13.27Кб
074 02. Network Mining.mp4 106.57Мб
075 03. Matrix_en.srt 9.87Кб
075 03. Matrix.mp4 67.34Мб
076 04. SQL_en.srt 17.97Кб
076 04. SQL.mp4 127.47Мб
077 Mining and Storing with Mammoth Interactive.html 27б
077 Mining-and-Storing-with-Mammoth-Interactive.zip 755.79Кб
078 01 NLP Data Cleaning_en.srt 9.40Кб
078 01 NLP Data Cleaning.mp4 76.73Мб
079 02. Count Vectorizer_en.srt 11.68Кб
079 02. Count Vectorizer.mp4 77.95Мб
080 03. NLP Example with Spam_en.srt 14.16Кб
080 03. NLP Example with Spam.mp4 98.46Мб
081 04. Tweak Model with Spam Data_en.srt 7.27Кб
081 04. Tweak Model with Spam Data.mp4 61.95Мб
082 05. Pipeline with Spam Data_en.srt 6.16Кб
082 05. Pipeline with Spam Data.mp4 49.69Мб
083 Project Files - NLP with Mammoth Interactive.html 27б
083 Project-Files-NLP-with-Mammoth-Interactive.zip 211.04Кб
084 06. Conclusion and Challenge_en.srt 5.95Кб
084 06. Conclusion and Challenge.mp4 60.68Мб
085 07 Conclusion Files - Mammoth Interactive.html 27б
085 07-Conclusion-Files-Mammoth-Interactive.zip 758б
086 00 Project Preview_en.srt 3.22Кб
086 00 Project Preview.mp4 26.26Мб
087 01 What Is Apache Spark_en.srt 3.20Кб
087 01 What Is Apache Spark.mp4 13.46Мб
088 02 What Are Resilient Distributed Datasets_en.srt 1.38Кб
088 02 What Are Resilient Distributed Datasets.mp4 7.43Мб
089 03A What Is A Dataframe_en.srt 2.21Кб
089 03A What Is A Dataframe.mp4 8.63Мб
090 03B What You'll Need_en.srt 2.21Кб
090 03B What You'll Need.mp4 8.64Мб
091 Source Files.html 27б
091 Source-Files.zip 2.95Мб
092 04 Start A Spark Session_en.srt 5.07Кб
092 04 Start A Spark Session.mp4 23.55Мб
093 05 Load Data As A CSV_en.srt 7.63Кб
093 05 Load Data As A CSV.mp4 41.08Мб
094 06 Perform Basic Dataframe Operations_en.srt 5.16Кб
094 06 Perform Basic Dataframe Operations.mp4 32.18Мб
095 07 Format Dataframe Table_en.srt 6.22Кб
095 07 Format Dataframe Table.mp4 38.95Мб
096 08 Perform Dataframe Math Operations_en.srt 8.87Кб
096 08 Perform Dataframe Math Operations.mp4 62.75Мб
097 09 Perform Dataframe Queries_en.srt 17.80Кб
097 09 Perform Dataframe Queries.mp4 87.99Мб
098 10 Build SQL Queries With Spark_en.srt 8.42Кб
098 10 Build SQL Queries With Spark.mp4 44.19Мб
099 Source Files.html 27б
099 Source-Files.zip 59.33Кб
100 00 Project Preview_en.srt 4.85Кб
100 00 Project Preview.mp4 19.82Мб
101 01 Convert Csv File To A Python List_en.srt 17.81Кб
101 01 Convert Csv File To A Python List.mp4 95.68Мб
102 02 Tokenize Text Data_en.srt 31.58Кб
102 02 Tokenize Text Data.mp4 168.60Мб
103 03 Find Most Popular Lemmatized Words_en.srt 14.75Кб
103 03 Find Most Popular Lemmatized Words.mp4 92.61Мб
104 04 Build Dataframes Per Part Of Speech_en.srt 4.80Кб
104 04 Build Dataframes Per Part Of Speech.mp4 34.01Мб
105 05 Plot Word Frequency_en.srt 11.74Кб
105 05 Plot Word Frequency.mp4 58.06Мб
106 Source Files.html 27б
106 Source-Files.zip 11.31Кб
107 00 Project Preview_en.srt 5.86Кб
107 00 Project Preview.mp4 16.89Мб
108 01 Load A Dataset_en.srt 12.95Кб
108 01 Load A Dataset.mp4 71.53Мб
109 02 Analyze The Main Feature_en.srt 3.83Кб
109 02 Analyze The Main Feature.mp4 15.95Мб
110 03 Analyze Numerical Features_en.srt 10.49Кб
110 03 Analyze Numerical Features.mp4 59.18Мб
111 04 Analyze Categorical Features_en.srt 13.84Кб
111 04 Analyze Categorical Features.mp4 54.34Мб
112 Source Files.html 27б
112 Source-Files.zip 193.04Кб
113 01 Find Relationships Between Numerical Features_en.srt 17.14Кб
113 01 Find Relationships Between Numerical Features.mp4 68.93Мб
114 02 Find Relationships Between Categorical Features_en.srt 10.84Кб
114 02 Find Relationships Between Categorical Features.mp4 49.22Мб
115 03 Build Conditional Plots_en.srt 10.11Кб
115 03 Build Conditional Plots.mp4 48.51Мб
116 Source Files.html 27б
116 Source-Files.zip 3.94Кб
117 00 Course Overview_en.srt 2.41Кб
117 00 Course Overview.mp4 7.96Мб
118 01 What You'll Need_en.srt 3.65Кб
118 01 What You'll Need.mp4 13.53Мб
119 Source files.html 27б
119 Source-files.zip 1.72Мб
120 01 Why You Must Know How To Work With Data_en.srt 6.73Кб
120 01 Why You Must Know How To Work With Data.mp4 15.59Мб
121 Source files.html 27б
121 Source-Files.zip 1.64Мб
122 01 How To Read An ER Model_en.srt 6.46Кб
122 01 How To Read An ER Model.mp4 13.99Мб
123 Source files.html 27б
123 Source-Files.zip 570.40Кб
124 01 What Is A Database_en.srt 9.43Кб
124 01 What Is A Database.mp4 21.56Мб
125 02 What Is A Relational Database_en.srt 4.96Кб
125 02 What Is A Relational Database.mp4 13.28Мб
126 Source files.html 27б
126 Source-Files.zip 1.64Мб
127 01 How To Design Columns And Data Types_en.srt 3.64Кб
127 01 How To Design Columns And Data Types.mp4 9.19Мб
128 02 Use Normal Forms To Check Your Design_en.srt 8.57Кб
128 02 Use Normal Forms To Check Your Design.mp4 27.01Мб
129 Source files.html 27б
129 Source-files.zip 1.81Мб
130 01 Build A SQLite Database With Python_en.srt 8.75Кб
130 01 Build A SQLite Database With Python.mp4 34.35Мб
131 02 Add An Entry To The Table With SQL_en.srt 7.37Кб
131 02 Add An Entry To The Table With SQL.mp4 33.01Мб
132 03 Add More Records To The Table_en.srt 7.04Кб
132 03 Add More Records To The Table.mp4 34.96Мб
133 04 Build A Second Table For Cross-Referencing_en.srt 12.81Кб
133 04 Build A Second Table For Cross-Referencing.mp4 75.50Мб
134 05 Select Rows That Meet Conditions_en.srt 7.94Кб
134 05 Select Rows That Meet Conditions.mp4 46.88Мб
135 Source files.html 27б
135 Source-files.zip 11.75Кб
136 Course Overview_en.srt 5.27Кб
136 Course Overview.mp4 8.95Мб
137 01 Load And Create Data_en.srt 13.01Кб
137 01 Load And Create Data.mp4 66.55Мб
138 02 Perform Exploratory Data Analysis_en.srt 4.58Кб
138 02 Perform Exploratory Data Analysis.mp4 27.24Мб
139 03 Visualize Data With Different Plots_en.srt 14.77Кб
139 03 Visualize Data With Different Plots.mp4 57.55Мб
140 04 Analyze Features With More Plots_en.srt 8.46Кб
140 04 Analyze Features With More Plots.mp4 35.07Мб
141 05 Build Plots With Seaborn_en.srt 6.51Кб
141 05 Build Plots With Seaborn.mp4 35.42Мб
142 06 Build A Bokeh Plot_en.srt 7.95Кб
142 06 Build A Bokeh Plot.mp4 37.34Мб
143 07 Build A 3D Scatter Plot_en.srt 4.65Кб
143 07 Build A 3D Scatter Plot.mp4 20.07Мб
144 08 Rank Feature Importance_en.srt 9.97Кб
144 08 Rank Feature Importance.mp4 39.64Мб
145 09 Compare Positive And Negative Returns_en.srt 9.97Кб
145 09 Compare Positive And Negative Returns.mp4 35.48Мб
146 Source Files.html 27б
146 Source-Files.zip 10.19Кб
147 00 Project Preview_en.srt 4.35Кб
147 00 Project Preview.mp4 10.90Мб
148 01 Load Crypto Prices Dataset_en.srt 13.75Кб
148 01 Load Crypto Prices Dataset.mp4 59.82Мб
149 02 Visualize Bitcoin Price Trend_en.srt 6.10Кб
149 02 Visualize Bitcoin Price Trend.mp4 23.35Мб
150 03 Predict Price With Facebook Prophet_en.srt 8.13Кб
150 03 Predict Price With Facebook Prophet.mp4 39.19Мб
151 04 Analyze Model Performance_en.srt 10.88Кб
151 04 Analyze Model Performance.mp4 74.87Мб
152 05 Visualize Model Results_en.srt 4.49Кб
152 05 Visualize Model Results.mp4 26.64Мб
153 06 Predict Monthly Trend_en.srt 11.98Кб
153 06 Predict Monthly Trend.mp4 62.10Мб
154 07 Predict Weekly Trend_en.srt 7.38Кб
154 07 Predict Weekly Trend.mp4 36.90Мб
155 08 Compare Final Stock Price Of Different Strategies_en.srt 8.79Кб
155 08 Compare Final Stock Price Of Different Strategies.mp4 42.98Мб
156 09-Source-Files.zip 24.87Кб
156 Source Files.html 27б
157 00 Project Preview_en.srt 4.46Кб
157 00 Project Preview.mp4 12.71Мб
158 01 Fetch Stock Data_en.srt 12.72Кб
158 01 Fetch Stock Data.mp4 57.59Мб
159 02 Visualize Stock Data Features_en.srt 9.56Кб
159 02 Visualize Stock Data Features.mp4 47.77Мб
160 03 Calculate Daily Return_en.srt 4.96Кб
160 03 Calculate Daily Return.mp4 24.09Мб
161 04 Compare Returns Of Different Stocks_en.srt 14.87Кб
161 04 Compare Returns Of Different Stocks.mp4 73.48Мб
162 05 Compare Closing Prices_en.srt 11.48Кб
162 05 Compare Closing Prices.mp4 56.03Мб
163 Source Files.html 27б
163 Source-Files.zip 3.95Кб
164 01 Visualize Standard Deviation And Expected Returns_en.srt 6.63Кб
164 01 Visualize Standard Deviation And Expected Returns.mp4 26.74Мб
165 02 Calculate Value At Risk_en.srt 4.73Кб
165 02 Calculate Value At Risk.mp4 21.08Мб
166 03 Monte Carlo Analysis To Estimate Risk_en.srt 11.30Кб
166 03 Monte Carlo Analysis To Estimate Risk.mp4 52.01Мб
167 04 Visualize Price Distribution_en.srt 11.08Кб
167 04 Visualize Price Distribution.mp4 60.41Мб
168 Source Files.html 27б
168 Source-Files.zip 5.94Кб
169 00 What Is Web Scraping_en.srt 8.29Кб
169 00 What Is Web Scraping.mp4 21.98Мб
170 01 What You'll Need_en.srt 2.07Кб
170 01 What You'll Need.mp4 7.49Мб
171 Source Files.html 27б
171 Source-Files.zip 1.42Мб
172 02 Build An HTML Webpage To Scrape_en.srt 17.55Кб
172 02 Build An HTML Webpage To Scrape.mp4 84.26Мб
173 03 Select Data Structures From A Webpage_en.srt 7.15Кб
173 03 Select Data Structures From A Webpage.mp4 34.93Мб
174 04 Extract URLs And Text_en.srt 7.09Кб
174 04 Extract URLs And Text.mp4 38.75Мб
175 05 Work With Tags_en.srt 9.17Кб
175 05 Work With Tags.mp4 38.63Мб
176 06 Work With Attributes_en.srt 6.28Кб
176 06 Work With Attributes.mp4 23.85Мб
177 07 Add Navigation To A String_en.srt 6.57Кб
177 07 Add Navigation To A String.mp4 24.29Мб
178 08 Navigate HTML Contents_en.srt 8.45Кб
178 08 Navigate HTML Contents.mp4 61.44Мб
179 09 Find All Filter_en.srt 5.77Кб
179 09 Find All Filter.mp4 32.42Мб
180 Source Files.html 27б
180 Source-Files.zip 6.76Кб
181 01 Project Preview_en.srt 2.08Кб
181 01 Project Preview.mp4 9.38Мб
182 02 What Is Plotly And Dash_en.srt 5.03Кб
182 02 What Is Plotly And Dash.mp4 18.69Мб
183 03 What You'll Need_en.srt 2.96Кб
183 03 What You'll Need.mp4 10.75Мб
184 Source Files.html 27б
184 Source-Files.zip 1.99Мб
185 01 Build A Dash App_en.srt 15.53Кб
185 01 Build A Dash App.mp4 98.92Мб
186 02 Build A Graph In The Dash App_en.srt 13.82Кб
186 02 Build A Graph In The Dash App.mp4 77.88Мб
187 Source Files.html 27б
187 Source-Files.zip 1.36Кб
188 01 Load Data From Vega Datasets_en.srt 6.63Кб
188 01 Load Data From Vega Datasets.mp4 33.49Мб
189 02 Build The Layout_en.srt 12.69Кб
189 02 Build The Layout.mp4 55.74Мб
190 03 Build A Chart With Altair_en.srt 14.61Кб
190 03 Build A Chart With Altair.mp4 71.97Мб
191 Source Files.html 27б
191 Source-Files.zip 2.40Кб
192 01 Project Preview_en.srt 4.38Кб
192 01 Project Preview.mp4 15.63Мб
193 01 Build A Dataset_en.srt 32.87Кб
193 01 Build A Dataset.mp4 141.13Мб
194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y_en.srt 13.98Кб
194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4 64.77Мб
195 03 Compute Support And Confidence For All Channels_en.srt 19.29Кб
195 03 Compute Support And Confidence For All Channels.mp4 92.10Мб
196 04 Determine Which Videos Are Best To Recommend_en.srt 14.55Кб
196 04 Determine Which Videos Are Best To Recommend.mp4 67.80Мб
197 Source Files.html 27б
197 Source-Files.zip 5.40Кб
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