Udemy Python Data Science with Pandas Master 12 Advanced Projects Giga Course
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Udemy Python Data Science with Pandas Master 12 Advanced Projects Giga Course
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Udemy Python Data Science with Pandas Master 12 Advanced Projects Giga Course
[CourseClub.Me].url -
[GigaCourse.Com].url -
1 - Course Overview don´t skip English.vtt -
1 - Course Overview don´t skip.mp4 -
2 - Tips How to get the most out of this Course don´t skip English.vtt -
2 - Tips How to get the most out of this Course don´t skip.mp4 -
3 - FAQ Your Questions answered.html -
4 - How to download and install Anaconda for Python coding English.vtt -
4 - How to download and install Anaconda for Python coding.mp4 -
5 - Jupyter Notebooks let´s get started English.vtt -
5 - Jupyter Notebooks let´s get started.mp4 -
6 - How to work with Jupyter Notebooks English.vtt -
6 - How to work with Jupyter Notebooks.mp4 -
[CourseClub.Me].url -
[GigaCourse.Com].url -
107 - Project Overview English.vtt -
107 - Project Overview.mp4 -
108 - Downloads Project 9.html -
108 - Project-09-Materials.zip -
109 - Web Scraping the Dow Jones Constituents English.vtt -
109 - Web Scraping the Dow Jones Constituents.mp4 -
110 - Normalizing Unicode Strings and Getting the Ticker Symbols English.vtt -
110 - Normalizing Unicode Strings and Getting the Ticker Symbols.mp4 -
111 - Download and Installation of an API Wrapper Package English.vtt -
111 - Download and Installation of an API Wrapper Package.mp4 -
112 - Loading and Saving Historical Stock Prices English.vtt -
112 - Loading and Saving Historical Stock Prices.mp4 -
113 - Project Overview English.vtt -
113 - Project Overview.mp4 -
114 - Downloads Project 10.html -
114 - Project-10-Materials.zip -
115 - Importing the Data English.vtt -
115 - Importing the Data.mp4 -
116 - Data Visualization & Returns English.vtt -
116 - Data Visualization & Returns.mp4 -
117 - Backtesting a simple Momentum Strategy English.vtt -
117 - Backtesting a simple Momentum Strategy.mp4 -
118 - Backtesting a simple Contrarian Strategy English.vtt -
118 - Backtesting a simple Contrarian Strategy.mp4 -
119 - More complex Strategies & Backtesting vs Fitting English.vtt -
119 - More complex Strategies & Backtesting vs Fitting.mp4 -
120 - Simple Moving Averages SMA English.vtt -
120 - Simple Moving Averages SMA.mp4 -
121 - Backtesting Simple Moving Averages SMA Strategies English.vtt -
121 - Backtesting Simple Moving Averages SMA Strategies.mp4 -
122 - Backtesting the Perfect Strategy in case you can predict the future English.vtt -
122 - Backtesting the Perfect Strategy in case you can predict the future.mp4 -
123 - Project Overview English.vtt -
123 - Project Overview.mp4 -
124 - Downloads Project 11.html -
124 - Project-11-Materials.zip -
125 - Importing & Merging the Data English.vtt -
125 - Importing & Merging the Data.mp4 -
126 - Transforming the Data English.vtt -
126 - Transforming the Data.mp4 -
127 - Explanatory Data Analysis Risk Return & Correlations English.vtt -
127 - Explanatory Data Analysis Risk Return & Correlations.mp4 -
128 - Index Tracking Introduction English.vtt -
128 - Index Tracking Introduction.mp4 -
129 - Index Tracking Selecting the Tracking Stocks English.vtt -
129 - Index Tracking Selecting the Tracking Stocks.mp4 -
130 - Index Tracking A simple Tracking Portfolio English.vtt -
130 - Index Tracking A simple Tracking Portfolio.mp4 -
131 - Index Tracking The optimal Tracking Portfolio English.vtt -
131 - Index Tracking The optimal Tracking Portfolio.mp4 -
132 - Forward Testing Part 1 English.vtt -
132 - Forward Testing Part 1.mp4 -
133 - Forward Testing Part 2 English.vtt -
133 - Forward Testing Part 2.mp4 -
134 - Project Overview English.vtt -
134 - Project Overview.mp4 -
135 - Downloads Project 12.html -
135 - Project-12-Materials.zip -
136 - Project Brief for SelfCoders English.vtt -
136 - Project Brief for SelfCoders.mp4 -
137 - Data Import and first Inspection English.vtt -
137 - Data Import and first Inspection.mp4 -
138 - Merging and Concatenating English.vtt -
138 - Merging and Concatenating.mp4 -
139 - Data Cleaning Part 1 English.vtt -
139 - Data Cleaning Part 1.mp4 -
140 - Data Cleaning Part 2 English.vtt -
140 - Data Cleaning Part 2.mp4 -
141 - What are the most successful countries of all times English.vtt -
141 - What are the most successful countries of all times.mp4 -
142 - Do GDP Population and Politics matter English.vtt -
142 - Do GDP Population and Politics matter.mp4 -
143 - Statistical Analysis and Hypothesis Testing with scipy English.vtt -
143 - Statistical Analysis and Hypothesis Testing with scipy.mp4 -
144 - Aggregating and Ranking English.vtt -
144 - Aggregating and Ranking.mp4 -
145 - Summer Games vs Winter Games does Geographical Location matter English.vtt -
145 - Summer Games vs Winter Games does Geographical Location matter.mp4 -
146 - Men vs Women do Culture & Religion matter English.vtt -
146 - Men vs Women do Culture & Religion matter.mp4 -
147 - Do Traditions matter English.vtt -
147 - Do Traditions matter.mp4 -
148 - Intro and Overview English.vtt -
148 - Intro and Overview.mp4 -
149 - How to update Pandas to Version 10.html -
150 - Course-Materials-Version-1-0.zip -
150 - Downloads for this Section.html -
151 - Important Recap Pandas Display Options Changed in Version 025 English.vtt -
151 - Important Recap Pandas Display Options Changed in Version 025.mp4 -
152 - Info method new and extended output English.vtt -
152 - Info method new and extended output.mp4 -
153 - NEW Extension dtypes nullable dtypes Why do we need them English.vtt -
153 - NEW Extension dtypes nullable dtypes Why do we need them.mp4 -
154 - Creating the NEW extension dtypes with convertdtypes English.vtt -
154 - Creating the NEW extension dtypes with convertdtypes.mp4 -
155 - NEW pdNA value for missing values English.vtt -
155 - NEW pdNA value for missing values.mp4 -
156 - The NEW nullable Int64Dtype English.vtt -
156 - The NEW nullable Int64Dtype.mp4 -
157 - The NEW StringDtype English.vtt -
157 - The NEW StringDtype.mp4 -
158 - The NEW nullable BooleanDtype English.vtt -
158 - The NEW nullable BooleanDtype.mp4 -
159 - Addition of the ignoreindex parameter English.vtt -
159 - Addition of the ignoreindex parameter.mp4 -
160 - Removal of prior Version Deprecations English.vtt -
160 - Removal of prior Version Deprecations.mp4 -
161 - Intro to Tabular Data Pandas English.vtt -
161 - Intro to Tabular Data Pandas.mp4 -
162 - Appendix-Materials.zip -
162 - Downloads for this Section.html -
163 - Create your very first Pandas DataFrame from csv English.vtt -
163 - Create your very first Pandas DataFrame from csv.mp4 -
164 - Pandas Display Options and the methods head & tail English.vtt -
164 - Pandas Display Options and the methods head & tail.mp4 -
165 - First Data Inspection English.vtt -
165 - First Data Inspection.mp4 -
166 - Builtin Functions Attributes and Methods with Pandas English.vtt -
166 - Builtin Functions Attributes and Methods with Pandas.mp4 -
167 - Selecting Columns English.vtt -
167 - Selecting Columns.mp4 -
168 - Selecting one Column with the dot notation English.vtt -
168 - Selecting one Column with the dot notation.mp4 -
169 - Zerobased Indexing and Negative Indexing English.vtt -
169 - Zerobased Indexing and Negative Indexing.mp4 -
169 - positions.pdf -
170 - Selecting Rows with iloc positionbased indexing English.vtt -
170 - Selecting Rows with iloc positionbased indexing.mp4 -
171 - Slicing Rows and Columns with iloc positionbased indexing English.vtt -
171 - Slicing Rows and Columns with iloc positionbased indexing.mp4 -
172 - Positionbased Indexing Cheat Sheets.html -
172 - pandas-iloc.pdf -
173 - Selecting Rows with loc labelbased indexing English.vtt -
173 - Selecting Rows with loc labelbased indexing.mp4 -
174 - Slicing Rows and Columns with loc labelbased indexing English.vtt -
174 - Slicing Rows and Columns with loc labelbased indexing.mp4 -
175 - Labelbased Indexing Cheat Sheets.html -
175 - Pandas-loc.pdf -
176 - First Steps with Pandas Series English.vtt -
176 - First Steps with Pandas Series.mp4 -
177 - Analyzing Numerical Series with unique nunique and valuecounts English.vtt -
177 - Analyzing Numerical Series with unique nunique and valuecounts.mp4 -
178 - Analyzing nonnumerical Series with unique nunique valuecounts English.vtt -
178 - Analyzing nonnumerical Series with unique nunique valuecounts.mp4 -
179 - Sorting of Series and Introduction to the inplace parameter English.vtt -
179 - Sorting of Series and Introduction to the inplace parameter.mp4 -
180 - Filtering DataFrames by one Condition English.vtt -
180 - Filtering DataFrames by one Condition.mp4 -
181 - Filtering DataFrames by many Conditions AND English.vtt -
181 - Filtering DataFrames by many Conditions AND.mp4 -
182 - Filtering DataFrames by many Conditions OR English.vtt -
182 - Filtering DataFrames by many Conditions OR.mp4 -
183 - Creating Columns based on other Columns English.vtt -
183 - Creating Columns based on other Columns.mp4 -
184 - Userdefined Functions with apply map and applymap English.vtt -
184 - Userdefined Functions with apply map and applymap.mp4 -
185 - Data Visualization with Matplotlib English.vtt -
185 - Data Visualization with Matplotlib.mp4 -
186 - GroupBy an Introduction English.vtt -
186 - GroupBy an Introduction.mp4 -
187 - Understanding the GroupBy Object English.vtt -
187 - Understanding the GroupBy Object.mp4 -
188 - Splitting with many Keys English.vtt -
188 - Splitting with many Keys.mp4 -
189 - splitapplycombine explained English.vtt -
189 - splitapplycombine explained.mp4 -
190 - splitapplycombine applied English.vtt -
190 - splitapplycombine applied.mp4 -
191 - Data with DateTime Information Part 1 English.vtt -
191 - Data with DateTime Information Part 1.mp4 -
192 - Data with DateTime Information Part 2 English.vtt -
192 - Data with DateTime Information Part 2.mp4 -
193 - Data with DateTime Information Part 3 English.vtt -
193 - Data with DateTime Information Part 3.mp4 -
194 - Data with DateTime Information Part 4 English.vtt -
194 - Data with DateTime Information Part 4.mp4 -
[CourseClub.Me].url -
[GigaCourse.Com].url -
195 - Bonus Lecture.html -
10 - Data Import from csv file and first Inspection English.vtt -
10 - Data Import from csv file and first Inspection.mp4 -
11 - The best and the worst movies Part 1 English.vtt -
11 - The best and the worst movies Part 1.mp4 -
12 - The best and the worst movies Part 2 English.vtt -
12 - The best and the worst movies Part 2.mp4 -
13 - Which Movie would you like to see next English.vtt -
13 - Which Movie would you like to see next.mp4 -
14 - What are the most common Words in Movie Titles Taglines and Overviews English.vtt -
14 - What are the most common Words in Movie Titles Taglines and Overviews.mp4 -
15 - Are Franchises more successful English.vtt -
15 - Are Franchises more successful.mp4 -
16 - What are the most successful Franchises English.vtt -
16 - What are the most successful Franchises.mp4 -
17 - The most successful Directors English.vtt -
17 - The most successful Directors.mp4 -
18 - The most successful Actors Part 1 English.vtt -
18 - The most successful Actors Part 1.mp4 -
19 - The most successful Actors Part 2 English.vtt -
19 - The most successful Actors Part 2.mp4 -
20 - Now it´s your turn Homework.html -
7 - Project Overview English.vtt -
7 - Project Overview.mp4 -
8 - Downloads Project 1 English.vtt -
8 - Downloads Project 1.mp4 -
8 - Project-01-Materials.zip -
9 - Project Brief for SelfCoders English.vtt -
9 - Project Brief for SelfCoders.mp4 -
21 - Project Overview English.vtt -
21 - Project Overview.mp4 -
22 - API-JSON.pdf -
22 - What is JSON English.vtt -
22 - What is JSON.mp4 -
23 - Downloads Project 2.html -
23 - Project-02-Materials.zip -
24 - Project Brief for SelfCoders English.vtt -
24 - Project Brief for SelfCoders.mp4 -
25 - Importing Data from JSON files English.vtt -
25 - Importing Data from JSON files.mp4 -
26 - JSON and OrientationFormats English.vtt -
26 - JSON and OrientationFormats.mp4 -
27 - What is an API The Movie Database API English.vtt -
27 - What is an API The Movie Database API.mp4 -
28 - Working with APIs and JSON Part 1 English.vtt -
28 - Working with APIs and JSON Part 1.mp4 -
29 - How to work with your own APIKEY English.vtt -
29 - How to work with your own APIKEY.mp4 -
30 - Working with APIs and JSON Part 2 English.vtt -
30 - Working with APIs and JSON Part 2.mp4 -
31 - Importing and Storing the Movies Dataset Best Practice English.vtt -
31 - Importing and Storing the Movies Dataset Best Practice.mp4 -
32 - Importing and Storing the Movies Dataset Real World Scenario English.vtt -
32 - Importing and Storing the Movies Dataset Real World Scenario.mp4 -
33 - Project Overview English.vtt -
33 - Project Overview.mp4 -
34 - Downloads Project 3.html -
34 - Project-03-Materials.zip -
35 - Project Brief for SelfCoders English.vtt -
35 - Project Brief for SelfCoders.mp4 -
36 - First Steps English.vtt -
36 - First Steps.mp4 -
37 - Dropping irrelevant Columns English.vtt -
37 - Dropping irrelevant Columns.mp4 -
38 - How to handle stringified JSON columns Part 1 English.vtt -
38 - How to handle stringified JSON columns Part 1.mp4 -
39 - How to handle stringified JSON columns Part 2 English.vtt -
39 - How to handle stringified JSON columns Part 2.mp4 -
40 - How to flatten nested Columns English.vtt -
40 - How to flatten nested Columns.mp4 -
41 - How to clean Numerical Columns Part 1 English.vtt -
41 - How to clean Numerical Columns Part 1.mp4 -
42 - How to clean Numerical Columns Part 2 English.vtt -
42 - How to clean Numerical Columns Part 2.mp4 -
43 - How to clean Columns with DateTime Information English.vtt -
43 - How to clean Columns with DateTime Information.mp4 -
44 - How to clean String Text Columns English.vtt -
44 - How to clean String Text Columns.mp4 -
45 - How to remove Duplicates English.vtt -
45 - How to remove Duplicates.mp4 -
46 - Handling Missing Values & Removing ObervationsRows English.vtt -
46 - Handling Missing Values & Removing ObervationsRows.mp4 -
47 - Final Steps English.vtt -
47 - Final Steps.mp4 -
48 - Project Overview English.vtt -
48 - Project Overview.mp4 -
49 - Downloads Project 4.html -
49 - Project-04-Materials.zip -
50 - Project Brief for SelfCoders English.vtt -
50 - Project Brief for SelfCoders.mp4 -
51 - Getting the Datasets English.vtt -
51 - Getting the Datasets.mp4 -
52 - Preparing the Data for Merge English.vtt -
52 - Preparing the Data for Merge.mp4 -
53 - Merging the Data Left Join English.vtt -
53 - Merging the Data Left Join.mp4 -
54 - Cleaning and Transforming the new Cast Column English.vtt -
54 - Cleaning and Transforming the new Cast Column.mp4 -
55 - Cleaning and Transforming the new Crew Column English.vtt -
55 - Cleaning and Transforming the new Crew Column.mp4 -
56 - Final Steps English.vtt -
56 - Final Steps.mp4 -
57 - Project Overview English.vtt -
57 - Project Overview.mp4 -
58 - What is a Database SQL English.vtt -
58 - What is a Database SQL.mp4 -
59 - Downloads Project 5.html -
59 - Project-05-Materials.zip -
60 - Project Brief for SelfCoders English.vtt -
60 - Project Brief for SelfCoders.mp4 -
61 - How to create an SQLite Database English.vtt -
61 - How to create an SQLite Database.mp4 -
62 - How to load Data from DataFrames into an SQLite Database English.vtt -
62 - How to load Data from DataFrames into an SQLite Database.mp4 -
63 - How to load Data from SQLite Databases into DataFrames English.vtt -
63 - How to load Data from SQLite Databases into DataFrames.mp4 -
64 - Some simple SQL Queries English.vtt -
64 - Some simple SQL Queries.mp4 -
65 - Some more SQL Queries English.vtt -
65 - Some more SQL Queries.mp4 -
66 - Join Queries English.vtt -
66 - Join Queries.mp4 -
67 - Final Case Study English.vtt -
67 - Final Case Study.mp4 -
68 - Project Overview English.vtt -
68 - Project Overview.mp4 -
69 - Downloads Project 6.html -
69 - Project-06-Materials.zip -
70 - Project Brief for SelfCoders Part 1 English.vtt -
70 - Project Brief for SelfCoders Part 1.mp4 -
71 - Getting the Data from the Web English.vtt -
71 - Getting the Data from the Web.mp4 -
72 - Importing one File & Understanding the Data Structure easy case English.vtt -
72 - Importing one File & Understanding the Data Structure easy case.mp4 -
73 - Importing & merging many Files easy case English.vtt -
73 - Importing & merging many Files easy case.mp4 -
74 - Final Steps English.vtt -
74 - Final Steps.mp4 -
75 - Project Brief for SelfCoders Part 2 English.vtt -
75 - Project Brief for SelfCoders Part 2.mp4 -
76 - Importing one File & Understanding the Data Structure complex case English.vtt -
76 - Importing one File & Understanding the Data Structure complex case.mp4 -
77 - The glob module English.vtt -
77 - The glob module.mp4 -
78 - Importing & merging many Files complex case English.vtt -
78 - Importing & merging many Files complex case.mp4 -
79 - Excursus Saving Memory Categorical Features English.vtt -
79 - Excursus Saving Memory Categorical Features.mp4 -
[CourseClub.Me].url -
[GigaCourse.Com].url -
80 - Project Overview English.vtt -
80 - Project Overview.mp4 -
81 - Downloads Project 7.html -
81 - Project-07-Materials.zip -
82 - Project Brief for SelfCoders English.vtt -
82 - Project Brief for SelfCoders.mp4 -
83 - First Inspection The most popular Names in 2018 English.vtt -
83 - First Inspection The most popular Names in 2018.mp4 -
84 - Evergreen Names 1880 2018 English.vtt -
84 - Evergreen Names 1880 2018.mp4 -
85 - Advanced Data Aggregation English.vtt -
85 - Advanced Data Aggregation.mp4 -
86 - What are the most popular Names of all Times English.vtt -
86 - What are the most popular Names of all Times.mp4 -
87 - General Trends over Time 1880 2018 English.vtt -
87 - General Trends over Time 1880 2018.mp4 -
88 - Creating the Features Popularity and Rank English.vtt -
88 - Creating the Features Popularity and Rank.mp4 -
89 - Visualizing Name Trends over Time English.vtt -
89 - Visualizing Name Trends over Time.mp4 -
90 - Why does a Name´s Popularity suddenly change Part 1 English.vtt -
90 - Why does a Name´s Popularity suddenly change Part 1.mp4 -
91 - Why does a Name´s Popularity suddenly change Part 2 English.vtt -
91 - Why does a Name´s Popularity suddenly change Part 2.mp4 -
92 - Persistant vs SpikeFade Names English.vtt -
92 - Persistant vs SpikeFade Names.mp4 -
93 - Most Popular Unisex Names English.vtt -
93 - Most Popular Unisex Names.mp4 -
100 - Advanced Explanatory Data Analyis with Seaborn English.vtt -
100 - Advanced Explanatory Data Analyis with Seaborn.mp4 -
101 - Feature Engineering Part 1 English.vtt -
101 - Feature Engineering Part 1.mp4 -
102 - Feature Engineering Part 2 English.vtt -
102 - Feature Engineering Part 2.mp4 -
103 - Splitting the Data into Train and Test Set English.vtt -
103 - Splitting the Data into Train and Test Set.mp4 -
104 - Training the ML Model Random Forest English.vtt -
104 - Training the ML Model Random Forest.mp4 -
105 - Evaluating the Model on the Test Set English.vtt -
105 - Evaluating the Model on the Test Set.mp4 -
106 - Feature Importance English.vtt -
106 - Feature Importance.mp4 -
94 - Project Overview English.vtt -
94 - Project Overview.mp4 -
95 - Downloads Project 8.html -
95 - Project-08-Materials.zip -
96 - Project Brief for SelfCoders English.vtt -
96 - Project Brief for SelfCoders.mp4 -
97 - Data Import and first Inspection English.vtt -
97 - Data Import and first Inspection.mp4 -
98 - Data Cleaning and Creating additional Features English.vtt -
98 - Data Cleaning and Creating additional Features.mp4 -
99 - Which Factors influence House Prices English.vtt -
99 - Which Factors influence House Prices.mp4 -
[CourseClub.Me].url -
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[CourseClub.Me].url -
122 bytes
[GigaCourse.Com].url -
49 bytes
1 - Course Overview don´t skip English.vtt -
5.4 KB
1 - Course Overview don´t skip.mp4 -
29.1 MB
2 - Tips How to get the most out of this Course don´t skip English.vtt -
6.0 KB
2 - Tips How to get the most out of this Course don´t skip.mp4 -
35.7 MB
3 - FAQ Your Questions answered.html -
4.7 KB
4 - How to download and install Anaconda for Python coding English.vtt -
8.0 KB
4 - How to download and install Anaconda for Python coding.mp4 -
45.6 MB
5 - Jupyter Notebooks let´s get started English.vtt -
9.9 KB
5 - Jupyter Notebooks let´s get started.mp4 -
44.1 MB
6 - How to work with Jupyter Notebooks English.vtt -
15.2 KB
6 - How to work with Jupyter Notebooks.mp4 -
41.1 MB
[CourseClub.Me].url -
122 bytes
[GigaCourse.Com].url -
49 bytes
107 - Project Overview English.vtt -
1.2 KB
107 - Project Overview.mp4 -
2.9 MB
108 - Downloads Project 9.html -
134 bytes
108 - Project-09-Materials.zip -
451.5 KB
109 - Web Scraping the Dow Jones Constituents English.vtt -
3.9 KB
109 - Web Scraping the Dow Jones Constituents.mp4 -
28.0 MB
110 - Normalizing Unicode Strings and Getting the Ticker Symbols English.vtt -
4.9 KB
110 - Normalizing Unicode Strings and Getting the Ticker Symbols.mp4 -
31.3 MB
111 - Download and Installation of an API Wrapper Package English.vtt -
2.3 KB
111 - Download and Installation of an API Wrapper Package.mp4 -
23.8 MB
112 - Loading and Saving Historical Stock Prices English.vtt -
4.7 KB
112 - Loading and Saving Historical Stock Prices.mp4 -
24.7 MB
113 - Project Overview English.vtt -
932 bytes
113 - Project Overview.mp4 -
1.9 MB
114 - Downloads Project 10.html -
135 bytes
114 - Project-10-Materials.zip -
79.6 KB
115 - Importing the Data English.vtt -
2.9 KB
115 - Importing the Data.mp4 -
11.9 MB
116 - Data Visualization & Returns English.vtt -
4.9 KB
116 - Data Visualization & Returns.mp4 -
21.0 MB
117 - Backtesting a simple Momentum Strategy English.vtt -
10.7 KB
117 - Backtesting a simple Momentum Strategy.mp4 -
26.7 MB
118 - Backtesting a simple Contrarian Strategy English.vtt -
3.4 KB
118 - Backtesting a simple Contrarian Strategy.mp4 -
15.0 MB
119 - More complex Strategies & Backtesting vs Fitting English.vtt -
6.3 KB
119 - More complex Strategies & Backtesting vs Fitting.mp4 -
28.6 MB
120 - Simple Moving Averages SMA English.vtt -
4.6 KB
120 - Simple Moving Averages SMA.mp4 -
13.3 MB
121 - Backtesting Simple Moving Averages SMA Strategies English.vtt -
5.7 KB
121 - Backtesting Simple Moving Averages SMA Strategies.mp4 -
26.3 MB
122 - Backtesting the Perfect Strategy in case you can predict the future English.vtt -
3.3 KB
122 - Backtesting the Perfect Strategy in case you can predict the future.mp4 -
16.3 MB
123 - Project Overview English.vtt -
1.3 KB
123 - Project Overview.mp4 -
9.0 MB
124 - Downloads Project 11.html -
135 bytes
124 - Project-11-Materials.zip -
453.5 KB
125 - Importing & Merging the Data English.vtt -
3.2 KB
125 - Importing & Merging the Data.mp4 -
24.1 MB
126 - Transforming the Data English.vtt -
8.6 KB
126 - Transforming the Data.mp4 -
64.3 MB
127 - Explanatory Data Analysis Risk Return & Correlations English.vtt -
8.3 KB
127 - Explanatory Data Analysis Risk Return & Correlations.mp4 -
60.6 MB
128 - Index Tracking Introduction English.vtt -
5.7 KB
128 - Index Tracking Introduction.mp4 -
30.7 MB
129 - Index Tracking Selecting the Tracking Stocks English.vtt -
3.4 KB
129 - Index Tracking Selecting the Tracking Stocks.mp4 -
23.4 MB
130 - Index Tracking A simple Tracking Portfolio English.vtt -
6.6 KB
130 - Index Tracking A simple Tracking Portfolio.mp4 -
42.9 MB
131 - Index Tracking The optimal Tracking Portfolio English.vtt -
6.2 KB
131 - Index Tracking The optimal Tracking Portfolio.mp4 -
35.3 MB
132 - Forward Testing Part 1 English.vtt -
5.1 KB
132 - Forward Testing Part 1.mp4 -
32.7 MB
133 - Forward Testing Part 2 English.vtt -
6.5 KB
133 - Forward Testing Part 2.mp4 -
34.4 MB
134 - Project Overview English.vtt -
846 bytes
134 - Project Overview.mp4 -
4.3 MB
135 - Downloads Project 12.html -
135 bytes
135 - Project-12-Materials.zip -
1023.1 KB
136 - Project Brief for SelfCoders English.vtt -
7.6 KB
136 - Project Brief for SelfCoders.mp4 -
68.1 MB
137 - Data Import and first Inspection English.vtt -
4.2 KB
137 - Data Import and first Inspection.mp4 -
13.9 MB
138 - Merging and Concatenating English.vtt -
4.6 KB
138 - Merging and Concatenating.mp4 -
24.4 MB
139 - Data Cleaning Part 1 English.vtt -
6.3 KB
139 - Data Cleaning Part 1.mp4 -
30.0 MB
140 - Data Cleaning Part 2 English.vtt -
5.4 KB
140 - Data Cleaning Part 2.mp4 -
16.3 MB
141 - What are the most successful countries of all times English.vtt -
7.9 KB
141 - What are the most successful countries of all times.mp4 -
25.2 MB
142 - Do GDP Population and Politics matter English.vtt -
10.7 KB
142 - Do GDP Population and Politics matter.mp4 -
33.1 MB
143 - Statistical Analysis and Hypothesis Testing with scipy English.vtt -
11.4 KB
143 - Statistical Analysis and Hypothesis Testing with scipy.mp4 -
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144 - Aggregating and Ranking English.vtt -
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145 - Summer Games vs Winter Games does Geographical Location matter English.vtt -
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146 - Men vs Women do Culture & Religion matter English.vtt -
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147 - Do Traditions matter English.vtt -
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148 - Intro and Overview English.vtt -
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148 - Intro and Overview.mp4 -
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149 - How to update Pandas to Version 10.html -
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150 - Downloads for this Section.html -
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151 - Important Recap Pandas Display Options Changed in Version 025 English.vtt -
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152 - Info method new and extended output English.vtt -
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153 - NEW Extension dtypes nullable dtypes Why do we need them English.vtt -
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153 - NEW Extension dtypes nullable dtypes Why do we need them.mp4 -
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154 - Creating the NEW extension dtypes with convertdtypes English.vtt -
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155 - NEW pdNA value for missing values English.vtt -
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156 - The NEW nullable Int64Dtype English.vtt -
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157 - The NEW StringDtype English.vtt -
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158 - The NEW nullable BooleanDtype English.vtt -
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159 - Addition of the ignoreindex parameter English.vtt -
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160 - Removal of prior Version Deprecations English.vtt -
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161 - Intro to Tabular Data Pandas English.vtt -
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162 - Appendix-Materials.zip -
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163 - Create your very first Pandas DataFrame from csv English.vtt -
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163 - Create your very first Pandas DataFrame from csv.mp4 -
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164 - Pandas Display Options and the methods head & tail English.vtt -
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164 - Pandas Display Options and the methods head & tail.mp4 -
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165 - First Data Inspection English.vtt -
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166 - Builtin Functions Attributes and Methods with Pandas English.vtt -
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167 - Selecting Columns English.vtt -
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168 - Selecting one Column with the dot notation English.vtt -
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169 - Zerobased Indexing and Negative Indexing English.vtt -
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170 - Selecting Rows with iloc positionbased indexing English.vtt -
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171 - Slicing Rows and Columns with iloc positionbased indexing English.vtt -
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172 - Positionbased Indexing Cheat Sheets.html -
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173 - Selecting Rows with loc labelbased indexing English.vtt -
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174 - Slicing Rows and Columns with loc labelbased indexing English.vtt -
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174 - Slicing Rows and Columns with loc labelbased indexing.mp4 -
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175 - Labelbased Indexing Cheat Sheets.html -
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175 - Pandas-loc.pdf -
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176 - First Steps with Pandas Series English.vtt -
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177 - Analyzing Numerical Series with unique nunique and valuecounts English.vtt -
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177 - Analyzing Numerical Series with unique nunique and valuecounts.mp4 -
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178 - Analyzing nonnumerical Series with unique nunique valuecounts English.vtt -
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178 - Analyzing nonnumerical Series with unique nunique valuecounts.mp4 -
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179 - Sorting of Series and Introduction to the inplace parameter English.vtt -
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179 - Sorting of Series and Introduction to the inplace parameter.mp4 -
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180 - Filtering DataFrames by one Condition English.vtt -
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180 - Filtering DataFrames by one Condition.mp4 -
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181 - Filtering DataFrames by many Conditions AND English.vtt -
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182 - Filtering DataFrames by many Conditions OR English.vtt -
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183 - Creating Columns based on other Columns English.vtt -
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184 - Userdefined Functions with apply map and applymap English.vtt -
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184 - Userdefined Functions with apply map and applymap.mp4 -
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185 - Data Visualization with Matplotlib English.vtt -
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186 - GroupBy an Introduction English.vtt -
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187 - Understanding the GroupBy Object English.vtt -
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188 - Splitting with many Keys English.vtt -
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189 - splitapplycombine explained English.vtt -
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191 - Data with DateTime Information Part 1 English.vtt -
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193 - Data with DateTime Information Part 3 English.vtt -
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10 - Data Import from csv file and first Inspection English.vtt -
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11 - The best and the worst movies Part 1 English.vtt -
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11 - The best and the worst movies Part 1.mp4 -
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12 - The best and the worst movies Part 2 English.vtt -
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13 - Which Movie would you like to see next English.vtt -
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14 - What are the most common Words in Movie Titles Taglines and Overviews English.vtt -
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15 - Are Franchises more successful English.vtt -
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20 - Now it´s your turn Homework.html -
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21 - Project Overview English.vtt -
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22 - API-JSON.pdf -
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22 - What is JSON English.vtt -
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24 - Project Brief for SelfCoders English.vtt -
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25 - Importing Data from JSON files English.vtt -
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26 - JSON and OrientationFormats English.vtt -
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27 - What is an API The Movie Database API English.vtt -
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28 - Working with APIs and JSON Part 1 English.vtt -
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29 - How to work with your own APIKEY English.vtt -
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30 - Working with APIs and JSON Part 2 English.vtt -
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31 - Importing and Storing the Movies Dataset Best Practice English.vtt -
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31 - Importing and Storing the Movies Dataset Best Practice.mp4 -
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32 - Importing and Storing the Movies Dataset Real World Scenario English.vtt -
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32 - Importing and Storing the Movies Dataset Real World Scenario.mp4 -
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33 - Project Overview English.vtt -
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34 - Project-03-Materials.zip -
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35 - Project Brief for SelfCoders English.vtt -
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36 - First Steps English.vtt -
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37 - Dropping irrelevant Columns English.vtt -
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38 - How to handle stringified JSON columns Part 1 English.vtt -
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39 - How to handle stringified JSON columns Part 2 English.vtt -
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40 - How to flatten nested Columns English.vtt -
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41 - How to clean Numerical Columns Part 1 English.vtt -
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42 - How to clean Numerical Columns Part 2 English.vtt -
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43 - How to clean Columns with DateTime Information English.vtt -
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44 - How to clean String Text Columns English.vtt -
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45 - How to remove Duplicates English.vtt -
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46 - Handling Missing Values & Removing ObervationsRows English.vtt -
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46 - Handling Missing Values & Removing ObervationsRows.mp4 -
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47 - Final Steps English.vtt -
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48 - Project Overview English.vtt -
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51 - Getting the Datasets English.vtt -
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51 - Getting the Datasets.mp4 -
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52 - Preparing the Data for Merge English.vtt -
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53 - Merging the Data Left Join English.vtt -
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54 - Cleaning and Transforming the new Cast Column English.vtt -
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55 - Cleaning and Transforming the new Crew Column English.vtt -
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56 - Final Steps English.vtt -
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57 - Project Overview English.vtt -
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58 - What is a Database SQL English.vtt -
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58 - What is a Database SQL.mp4 -
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59 - Downloads Project 5.html -
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59 - Project-05-Materials.zip -
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60 - Project Brief for SelfCoders English.vtt -
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61 - How to create an SQLite Database English.vtt -
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61 - How to create an SQLite Database.mp4 -
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62 - How to load Data from DataFrames into an SQLite Database English.vtt -
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62 - How to load Data from DataFrames into an SQLite Database.mp4 -
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63 - How to load Data from SQLite Databases into DataFrames English.vtt -
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63 - How to load Data from SQLite Databases into DataFrames.mp4 -
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64 - Some simple SQL Queries English.vtt -
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64 - Some simple SQL Queries.mp4 -
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65 - Some more SQL Queries English.vtt -
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65 - Some more SQL Queries.mp4 -
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66 - Join Queries English.vtt -
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67 - Final Case Study English.vtt -
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68 - Project Overview English.vtt -
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69 - Downloads Project 6.html -
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69 - Project-06-Materials.zip -
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70 - Project Brief for SelfCoders Part 1 English.vtt -
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70 - Project Brief for SelfCoders Part 1.mp4 -
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71 - Getting the Data from the Web English.vtt -
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72 - Importing one File & Understanding the Data Structure easy case English.vtt -
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72 - Importing one File & Understanding the Data Structure easy case.mp4 -
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73 - Importing & merging many Files easy case English.vtt -
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74 - Final Steps English.vtt -
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75 - Project Brief for SelfCoders Part 2 English.vtt -
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76 - Importing one File & Understanding the Data Structure complex case English.vtt -
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76 - Importing one File & Understanding the Data Structure complex case.mp4 -
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77 - The glob module English.vtt -
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78 - Importing & merging many Files complex case English.vtt -
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79 - Excursus Saving Memory Categorical Features English.vtt -
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80 - Project Overview English.vtt -
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82 - Project Brief for SelfCoders English.vtt -
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83 - First Inspection The most popular Names in 2018 English.vtt -
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83 - First Inspection The most popular Names in 2018.mp4 -
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84 - Evergreen Names 1880 2018 English.vtt -
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84 - Evergreen Names 1880 2018.mp4 -
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85 - Advanced Data Aggregation English.vtt -
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85 - Advanced Data Aggregation.mp4 -
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86 - What are the most popular Names of all Times English.vtt -
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86 - What are the most popular Names of all Times.mp4 -
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87 - General Trends over Time 1880 2018 English.vtt -
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88 - Creating the Features Popularity and Rank English.vtt -
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89 - Visualizing Name Trends over Time English.vtt -
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90 - Why does a Name´s Popularity suddenly change Part 1 English.vtt -
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90 - Why does a Name´s Popularity suddenly change Part 1.mp4 -
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91 - Why does a Name´s Popularity suddenly change Part 2 English.vtt -
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92 - Persistant vs SpikeFade Names English.vtt -
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93 - Most Popular Unisex Names English.vtt -
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100 - Advanced Explanatory Data Analyis with Seaborn English.vtt -
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100 - Advanced Explanatory Data Analyis with Seaborn.mp4 -
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101 - Feature Engineering Part 1 English.vtt -
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101 - Feature Engineering Part 1.mp4 -
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102 - Feature Engineering Part 2 English.vtt -
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102 - Feature Engineering Part 2.mp4 -
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103 - Splitting the Data into Train and Test Set English.vtt -
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103 - Splitting the Data into Train and Test Set.mp4 -
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104 - Training the ML Model Random Forest English.vtt -
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104 - Training the ML Model Random Forest.mp4 -
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105 - Evaluating the Model on the Test Set English.vtt -
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105 - Evaluating the Model on the Test Set.mp4 -
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106 - Feature Importance English.vtt -
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94 - Project Overview English.vtt -
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96 - Project Brief for SelfCoders.mp4 -
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97 - Data Import and first Inspection English.vtt -
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98 - Data Cleaning and Creating additional Features English.vtt -
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98 - Data Cleaning and Creating additional Features.mp4 -
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99 - Which Factors influence House Prices English.vtt -
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99 - Which Factors influence House Prices.mp4 -
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