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Complete Python & Data Science Course for Absolute Beginners
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[TutsNode.com] - Complete Python & Data Science Course for Absolute Beginners (Size: 10.88 GB) (Files: 560)
[TutsNode.com] - Complete Python & Data Science Course for Absolute Beginners
01 - Python Language Fundamentals Learn Python from scratch
061 Data Wrangling Demystified.mp4
121 Source-Files.zip
099 Source-Files.zip
197 Source-Files.zip
028 Source Code.html
040 Source Code.html
058 Source Files.html
060 Project Files - Data Mining with Mammoth Interactive.html
062 Project Files - Data Wrangling with Mammoth Interactive.html
064 02. Classification and Regression.mp4
040 Pyplot-Code.zip
083 Project-Files-NLP-with-Mammoth-Interactive.zip
050 09. Creating Pandas Dataframes_en.srt
085 07-Conclusion-Files-Mammoth-Interactive.zip
066 04. Dimensionality Reduction.mp4
072 Project-Files-Frameworks-with-Mammoth-Interactive.zip
102 02 Tokenize Text Data_en.srt
067 Project Files - Data Mining fundamentals with Mammoth Interactive.html
072 Project Files - Frameworks with Mammoth Interactive.html
077 Mining and Storing with Mammoth Interactive.html
083 Project Files - NLP with Mammoth Interactive.html
085 07 Conclusion Files - Mammoth Interactive.html
091 Source Files.html
053 12. Dataframe Modification.mp4
062 Project-Files-Data-Wrangling-with-Mammoth-Interactive.zip
112 Source-Files.zip
028 Python-Language-Basics.zip
061 Data Wrangling Demystified_en.srt
058 Source-Files.zip
048 07. Modifying Series_en.srt
099 Source Files.html
106 Source Files.html
112 Source Files.html
116 Source Files.html
119 Source files.html
121 Source files.html
123 Source files.html
126 Source files.html
129 Source files.html
135 Source files.html
146 Source Files.html
156 Source Files.html
163 Source Files.html
168 Source Files.html
171 Source Files.html
063 01. Cluster Analysis.mp4
129 Source-files.zip
064 02. Classification and Regression_en.srt
180 Source Files.html
184 Source Files.html
187 Source Files.html
191 Source Files.html
197 Source Files.html
068 01. Apache Spark - An Overview Of The Framework.mp4
053 12. Dataframe Modification_en.srt
021 Parameters And Return Values Examples_en.srt
069 02. Spark Key Functions.mp4
051 10. Getting Elements From Dataframes_en.srt
068 01. Apache Spark - An Overview Of The Framework_en.srt
006 Operators Examples_en.srt
066 04. Dimensionality Reduction_en.srt
054 13. Dataframe Operations_en.srt
044 03. Creating Pandas Series_en.srt
193 01 Build A Dataset_en.srt
003 Variables_en.srt
046 05. Getting Elements From Series_en.srt
052 11. Getting Properties From Dataframes_en.srt
069 02. Spark Key Functions_en.srt
025 Inheritance Examples_en.srt
055 14 Dataframe Comparisons And Iteration_en.srt
056 15. Reading CSVs_en.srt
102 02 Tokenize Text Data.mp4
077 Mining-and-Storing-with-Mammoth-Interactive.zip
123 Source-Files.zip
156 09-Source-Files.zip
063 01. Cluster Analysis_en.srt
011 Dictionaries Examples_en.srt
023 Classes Example_en.srt
158 01 Fetch Stock Data_en.srt
073 01. Text Mining.mp4
060 Project-Files-Data-Mining-with-Mammoth-Interactive.zip
067 Project-Files-Data-Mining-fundamentals-with-Mammoth-Interactive.zip
047 06. Getting Properties Of Series_en.srt
073 01. Text Mining_en.srt
195 03 Compute Support And Confidence For All Channels_en.srt
008 Lists_en.srt
049 08. Operations On Series_en.srt
017 While Loops Examples_en.srt
015 If Statement Variants Examples_en.srt
045 04. Date Ranges_en.srt
076 04. SQL_en.srt
018 For Loops Examples_en.srt
101 01 Convert Csv File To A Python List_en.srt
097 09 Perform Dataframe Queries_en.srt
007 Collections_en.srt
193 01 Build A Dataset.mp4
033 04. Customizing Graphs_en.srt
172 02 Build An HTML Webpage To Scrape_en.srt
014 If Statement Examples_en.srt
004 Type Conversion Examples_en.srt
113 01 Find Relationships Between Numerical Features_en.srt
026 Static Members Example_en.srt
022 Classes and Objects_en.srt
024 Objects Examples_en.srt
065 03. Association and Correlation_en.srt
037 08. Histogram_en.srt
185 01 Build A Dash App_en.srt
020 Functions Examples_en.srt
161 04 Compare Returns Of Different Stocks_en.srt
139 03 Visualize Data With Different Plots_en.srt
103 03 Find Most Popular Lemmatized Words_en.srt
190 03 Build A Chart With Altair_en.srt
196 04 Determine Which Videos Are Best To Recommend_en.srt
010 Tuples Examples_en.srt
012 Ranges Examples_en.srt
080 03. NLP Example with Spam_en.srt
194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y_en.srt
036 07. Pie Chart_en.srt
111 04 Analyze Categorical Features_en.srt
186 02 Build A Graph In The Dash App_en.srt
148 01 Load Crypto Prices Dataset_en.srt
059 Introduction to Data Mining_en.srt
074 02. Network Mining_en.srt
034 05. Plotting Multiple Datasets_en.srt
009 Multidimensional List Examples_en.srt
137 01 Load And Create Data_en.srt
108 01 Load A Dataset_en.srt
133 04 Build A Second Table For Cross-Referencing_en.srt
189 02 Build The Layout_en.srt
032 03. Basic Line Plot_en.srt
019 Functions_en.srt
153 06 Predict Monthly Trend_en.srt
135 Source-files.zip
105 05 Plot Word Frequency_en.srt
079 02. Count Vectorizer_en.srt
042 01. Intro To Pandas_en.srt
162 05 Compare Closing Prices_en.srt
106 Source-Files.zip
166 03 Monte Carlo Analysis To Estimate Risk_en.srt
016 Loops_en.srt
167 04 Visualize Price Distribution_en.srt
151 04 Analyze Model Performance_en.srt
114 02 Find Relationships Between Categorical Features_en.srt
005 Operators_en.srt
110 03 Analyze Numerical Features_en.srt
035 06. Bar Chart_en.srt
013 Conditionals_en.srt
146 Source-Files.zip
115 03 Build Conditional Plots_en.srt
144 08 Rank Feature Importance_en.srt
145 09 Compare Positive And Negative Returns_en.srt
075 03. Matrix_en.srt
159 02 Visualize Stock Data Features_en.srt
070 03. Spark Machine Learning_en.srt
124 01 What Is A Database_en.srt
038 09. 3D Plotting_en.srt
078 01 NLP Data Cleaning_en.srt
175 05 Work With Tags_en.srt
031 02. Installing Matplotlib_en.srt
096 08 Perform Dataframe Math Operations_en.srt
155 08 Compare Final Stock Price Of Different Strategies_en.srt
130 01 Build A SQLite Database With Python_en.srt
043 02. Installing Pandas_en.srt
041 00. Panda Course Introduction_en.srt
128 02 Use Normal Forms To Check Your Design_en.srt
140 04 Analyze Features With More Plots_en.srt
178 08 Navigate HTML Contents_en.srt
098 10 Build SQL Queries With Spark_en.srt
088 02 What Are Resilient Distributed Datasets_en.srt
084 06. Conclusion and Challenge_en.srt
089 03A What Is A Dataframe_en.srt
184 Source-Files.zip
090 03B What You'll Need_en.srt
136 Course Overview_en.srt
051 10. Getting Elements From Dataframes.mp4
169 00 What Is Web Scraping_en.srt
029 00. Course Intro_en.srt
150 03 Predict Price With Facebook Prophet_en.srt
002 Intro To Python_en.srt
071 04. EXAMPLES - Using The Machine Learning Pipeline_en.srt
142 06 Build A Bokeh Plot_en.srt
134 05 Select Rows That Meet Conditions_en.srt
093 05 Load Data As A CSV_en.srt
154 07 Predict Weekly Trend_en.srt
131 02 Add An Entry To The Table With SQL_en.srt
001 Introduction_en.srt
081 04. Tweak Model with Spam Data_en.srt
173 03 Select Data Structures From A Webpage_en.srt
030 01. Intro To Pyplot_en.srt
174 04 Extract URLs And Text_en.srt
132 03 Add More Records To The Table_en.srt
180 Source-Files.zip
120 01 Why You Must Know How To Work With Data_en.srt
164 01 Visualize Standard Deviation And Expected Returns_en.srt
188 01 Load Data From Vega Datasets_en.srt
177 07 Add Navigation To A String_en.srt
141 05 Build Plots With Seaborn_en.srt
122 01 How To Read An ER Model_en.srt
176 06 Work With Attributes_en.srt
095 07 Format Dataframe Table_en.srt
082 05. Pipeline with Spam Data_en.srt
057 16.summary And Outro_en.srt
027 Summary and Outro_en.srt
149 02 Visualize Bitcoin Price Trend_en.srt
039 10. Course Outro_en.srt
168 Source-Files.zip
107 00 Project Preview_en.srt
179 09 Find All Filter_en.srt
094 06 Perform Basic Dataframe Operations_en.srt
092 04 Start A Spark Session_en.srt
182 02 What Is Plotly And Dash_en.srt
160 03 Calculate Daily Return_en.srt
125 02 What Is A Relational Database_en.srt
100 00 Project Preview_en.srt
104 04 Build Dataframes Per Part Of Speech_en.srt
165 02 Calculate Value At Risk_en.srt
143 07 Build A 3D Scatter Plot_en.srt
138 02 Perform Exploratory Data Analysis_en.srt
152 05 Visualize Model Results_en.srt
157 00 Project Preview_en.srt
192 01 Project Preview_en.srt
147 00 Project Preview_en.srt
163 Source-Files.zip
109 02 Analyze The Main Feature_en.srt
116 Source-Files.zip
117 00 Course Overview_en.srt
118 01 What You'll Need_en.srt
127 01 How To Design Columns And Data Types_en.srt
086 00 Project Preview_en.srt
087 01 What Is Apache Spark_en.srt
183 03 What You'll Need_en.srt
191 Source-Files.zip
181 01 Project Preview_en.srt
170 01 What You'll Need_en.srt
187 Source-Files.zip
050 09. Creating Pandas Dataframes.mp4
119 Source-files.zip
025 Inheritance Examples.mp4
076 04. SQL.mp4
006 Operators Examples.mp4
171 Source-Files.zip
065 03. Association and Correlation.mp4
126 Source-Files.zip
044 03. Creating Pandas Series.mp4
054 13. Dataframe Operations.mp4
052 11. Getting Properties From Dataframes.mp4
003 Variables.mp4
074 02. Network Mining.mp4
048 07. Modifying Series.mp4
046 05. Getting Elements From Series.mp4
185 01 Build A Dash App.mp4
080 03. NLP Example with Spam.mp4
101 01 Convert Csv File To A Python List.mp4
055 14 Dataframe Comparisons And Iteration.mp4
103 03 Find Most Popular Lemmatized Words.mp4
195 03 Compute Support And Confidence For All Channels.mp4
070 03. Spark Machine Learning.mp4
011 Dictionaries Examples.mp4
097 09 Perform Dataframe Queries.mp4
024 Objects Examples.mp4
033 04. Customizing Graphs.mp4
172 02 Build An HTML Webpage To Scrape.mp4
026 Static Members Example.mp4
021 Parameters And Return Values Examples.mp4
056 15. Reading CSVs.mp4
023 Classes Example.mp4
059 Introduction to Data Mining.mp4
022 Classes and Objects.mp4
079 02. Count Vectorizer.mp4
186 02 Build A Graph In The Dash App.mp4
078 01 NLP Data Cleaning.mp4
133 04 Build A Second Table For Cross-Referencing.mp4
151 04 Analyze Model Performance.mp4
015 If Statement Variants Examples.mp4
161 04 Compare Returns Of Different Stocks.mp4
008 Lists.mp4
071 04. EXAMPLES - Using The Machine Learning Pipeline.mp4
018 For Loops Examples.mp4
190 03 Build A Chart With Altair.mp4
108 01 Load A Dataset.mp4
047 06. Getting Properties Of Series.mp4
034 05. Plotting Multiple Datasets.mp4
113 01 Find Relationships Between Numerical Features.mp4
196 04 Determine Which Videos Are Best To Recommend.mp4
075 03. Matrix.mp4
137 01 Load And Create Data.mp4
017 While Loops Examples.mp4
049 08. Operations On Series.mp4
037 08. Histogram.mp4
194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4
004 Type Conversion Examples.mp4
045 04. Date Ranges.mp4
096 08 Perform Dataframe Math Operations.mp4
153 06 Predict Monthly Trend.mp4
081 04. Tweak Model with Spam Data.mp4
178 08 Navigate HTML Contents.mp4
036 07. Pie Chart.mp4
084 06. Conclusion and Challenge.mp4
167 04 Visualize Price Distribution.mp4
148 01 Load Crypto Prices Dataset.mp4
110 03 Analyze Numerical Features.mp4
032 03. Basic Line Plot.mp4
105 05 Plot Word Frequency.mp4
012 Ranges Examples.mp4
158 01 Fetch Stock Data.mp4
139 03 Visualize Data With Different Plots.mp4
014 If Statement Examples.mp4
010 Tuples Examples.mp4
162 05 Compare Closing Prices.mp4
189 02 Build The Layout.mp4
019 Functions.mp4
111 04 Analyze Categorical Features.mp4
166 03 Monte Carlo Analysis To Estimate Risk.mp4
007 Collections.mp4
038 09. 3D Plotting.mp4
020 Functions Examples.mp4
042 01. Intro To Pandas.mp4
016 Loops.mp4
082 05. Pipeline with Spam Data.mp4
114 02 Find Relationships Between Categorical Features.mp4
115 03 Build Conditional Plots.mp4
159 02 Visualize Stock Data Features.mp4
009 Multidimensional List Examples.mp4
134 05 Select Rows That Meet Conditions.mp4
013 Conditionals.mp4
005 Operators.mp4
035 06. Bar Chart.mp4
098 10 Build SQL Queries With Spark.mp4
155 08 Compare Final Stock Price Of Different Strategies.mp4
093 05 Load Data As A CSV.mp4
002 Intro To Python.mp4
144 08 Rank Feature Importance.mp4
041 00. Panda Course Introduction.mp4
150 03 Predict Price With Facebook Prophet.mp4
095 07 Format Dataframe Table.mp4
174 04 Extract URLs And Text.mp4
175 05 Work With Tags.mp4
142 06 Build A Bokeh Plot.mp4
154 07 Predict Weekly Trend.mp4
001 Introduction.mp4
031 02. Installing Matplotlib.mp4
043 02. Installing Pandas.mp4
145 09 Compare Positive And Negative Returns.mp4
141 05 Build Plots With Seaborn.mp4
030 01. Intro To Pyplot.mp4
140 04 Analyze Features With More Plots.mp4
029 00. Course Intro.mp4
132 03 Add More Records To The Table.mp4
173 03 Select Data Structures From A Webpage.mp4
130 01 Build A SQLite Database With Python.mp4
104 04 Build Dataframes Per Part Of Speech.mp4
188 01 Load Data From Vega Datasets.mp4
131 02 Add An Entry To The Table With SQL.mp4
057 16.summary And Outro.mp4
179 09 Find All Filter.mp4
094 06 Perform Basic Dataframe Operations.mp4
027 Summary and Outro.mp4
138 02 Perform Exploratory Data Analysis.mp4
128 02 Use Normal Forms To Check Your Design.mp4
164 01 Visualize Standard Deviation And Expected Returns.mp4
152 05 Visualize Model Results.mp4
039 10. Course Outro.mp4
086 00 Project Preview.mp4
177 07 Add Navigation To A String.mp4
160 03 Calculate Daily Return.mp4
176 06 Work With Attributes.mp4
092 04 Start A Spark Session.mp4
149 02 Visualize Bitcoin Price Trend.mp4
169 00 What Is Web Scraping.mp4
124 01 What Is A Database.mp4
165 02 Calculate Value At Risk.mp4
143 07 Build A 3D Scatter Plot.mp4
100 00 Project Preview.mp4
182 02 What Is Plotly And Dash.mp4
107 00 Project Preview.mp4
109 02 Analyze The Main Feature.mp4
192 01 Project Preview.mp4
120 01 Why You Must Know How To Work With Data.mp4
122 01 How To Read An ER Model.mp4
118 01 What You'll Need.mp4
087 01 What Is Apache Spark.mp4
125 02 What Is A Relational Database.mp4
157 00 Project Preview.mp4
147 00 Project Preview.mp4
183 03 What You'll Need.mp4
181 01 Project Preview.mp4
127 01 How To Design Columns And Data Types.mp4
136 Course Overview.mp4
090 03B What You'll Need.mp4
089 03A What Is A Dataframe.mp4
117 00 Course Overview.mp4
170 01 What You'll Need.mp4
088 02 What Are Resilient Distributed Datasets.mp4
091 Source-Files.zip
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