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文档列表

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
091 Source Files.html 27 Bytes
099 Source Files.html 27 Bytes
106 Source Files.html 27 Bytes
112 Source Files.html 27 Bytes
116 Source Files.html 27 Bytes
119 Source files.html 27 Bytes
121 Source files.html 27 Bytes
123 Source files.html 27 Bytes
126 Source files.html 27 Bytes
129 Source files.html 27 Bytes
135 Source files.html 27 Bytes
146 Source Files.html 27 Bytes
156 Source Files.html 27 Bytes
163 Source Files.html 27 Bytes
168 Source Files.html 27 Bytes
171 Source Files.html 27 Bytes
180 Source Files.html 27 Bytes
184 Source Files.html 27 Bytes
187 Source Files.html 27 Bytes
191 Source Files.html 27 Bytes
197 Source Files.html 27 Bytes

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