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GigaCourse Com Udemy Python Data Science with Pandas Master 12 Advanced Projects

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[GigaCourse.Com] Udemy - Python Data Science with Pandas Master 12 Advanced Projects

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4.6 GB

Total Files

399

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2025-07-18 23:39

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69DDCB2CD58DBD0CEC877FE10358BBD02C2B9D28

/0. Websites you may like/

[CourseClub.Me].url

0.1 KB

[GigaCourse.Com].url

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/1 - Getting Started/

1 - Course Overview don´t skip English.vtt

5.5 KB

1 - Course Overview don´t skip.mp4

30.6 MB

2 - Tips How to get the most out of this Course don´t skip English.vtt

6.2 KB

2 - Tips How to get the most out of this Course don´t skip.mp4

37.4 MB

3 - FAQ Your Questions answered.html

4.8 KB

4 - How to download and install Anaconda for Python coding English.vtt

8.2 KB

4 - How to download and install Anaconda for Python coding.mp4

47.8 MB

5 - Jupyter Notebooks let´s get started English.vtt

10.1 KB

5 - Jupyter Notebooks let´s get started.mp4

46.2 MB

6 - How to work with Jupyter Notebooks English.vtt

15.5 KB

6 - How to work with Jupyter Notebooks.mp4

43.1 MB

[CourseClub.Me].url

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/10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/

107 - Project Overview English.vtt

1.3 KB

107 - Project Overview.mp4

3.0 MB

108 - Downloads Project 9.html

0.1 KB

108 - Project-09-Materials.zip

462.4 KB

109 - Web Scraping the Dow Jones Constituents English.vtt

4.0 KB

109 - Web Scraping the Dow Jones Constituents.mp4

29.4 MB

110 - Normalizing Unicode Strings and Getting the Ticker Symbols English.vtt

5.0 KB

110 - Normalizing Unicode Strings and Getting the Ticker Symbols.mp4

32.8 MB

111 - Download and Installation of an API Wrapper Package English.vtt

2.4 KB

111 - Download and Installation of an API Wrapper Package.mp4

25.0 MB

112 - Loading and Saving Historical Stock Prices English.vtt

4.8 KB

112 - Loading and Saving Historical Stock Prices.mp4

25.9 MB

/11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/

113 - Project Overview English.vtt

0.9 KB

113 - Project Overview.mp4

2.0 MB

114 - Downloads Project 10.html

0.1 KB

114 - Project-10-Materials.zip

81.5 KB

115 - Importing the Data English.vtt

2.9 KB

115 - Importing the Data.mp4

12.5 MB

116 - Data Visualization & Returns English.vtt

5.0 KB

116 - Data Visualization & Returns.mp4

22.1 MB

117 - Backtesting a simple Momentum Strategy English.vtt

10.9 KB

117 - Backtesting a simple Momentum Strategy.mp4

28.0 MB

118 - Backtesting a simple Contrarian Strategy English.vtt

3.5 KB

118 - Backtesting a simple Contrarian Strategy.mp4

15.7 MB

119 - More complex Strategies & Backtesting vs Fitting English.vtt

6.4 KB

119 - More complex Strategies & Backtesting vs Fitting.mp4

30.0 MB

120 - Simple Moving Averages SMA English.vtt

4.7 KB

120 - Simple Moving Averages SMA.mp4

13.9 MB

121 - Backtesting Simple Moving Averages SMA Strategies English.vtt

5.9 KB

121 - Backtesting Simple Moving Averages SMA Strategies.mp4

27.6 MB

122 - Backtesting the Perfect Strategy in case you can predict the future English.vtt

3.4 KB

122 - Backtesting the Perfect Strategy in case you can predict the future.mp4

17.1 MB

/12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/

123 - Project Overview English.vtt

1.3 KB

123 - Project Overview.mp4

9.4 MB

124 - Downloads Project 11.html

0.1 KB

124 - Project-11-Materials.zip

464.4 KB

125 - Importing & Merging the Data English.vtt

3.3 KB

125 - Importing & Merging the Data.mp4

25.2 MB

126 - Transforming the Data English.vtt

8.8 KB

126 - Transforming the Data.mp4

67.4 MB

127 - Explanatory Data Analysis Risk Return & Correlations English.vtt

8.5 KB

127 - Explanatory Data Analysis Risk Return & Correlations.mp4

63.5 MB

128 - Index Tracking Introduction English.vtt

5.8 KB

128 - Index Tracking Introduction.mp4

32.2 MB

129 - Index Tracking Selecting the Tracking Stocks English.vtt

3.5 KB

129 - Index Tracking Selecting the Tracking Stocks.mp4

24.5 MB

130 - Index Tracking A simple Tracking Portfolio English.vtt

6.8 KB

130 - Index Tracking A simple Tracking Portfolio.mp4

45.0 MB

131 - Index Tracking The optimal Tracking Portfolio English.vtt

6.4 KB

131 - Index Tracking The optimal Tracking Portfolio.mp4

37.0 MB

132 - Forward Testing Part 1 English.vtt

5.2 KB

132 - Forward Testing Part 1.mp4

34.3 MB

133 - Forward Testing Part 2 English.vtt

6.6 KB

133 - Forward Testing Part 2.mp4

36.1 MB

/13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/

134 - Project Overview English.vtt

0.8 KB

134 - Project Overview.mp4

4.5 MB

135 - Downloads Project 12.html

0.1 KB

135 - Project-12-Materials.zip

1.0 MB

136 - Project Brief for SelfCoders English.vtt

7.8 KB

136 - Project Brief for SelfCoders.mp4

71.4 MB

137 - Data Import and first Inspection English.vtt

4.3 KB

137 - Data Import and first Inspection.mp4

14.5 MB

138 - Merging and Concatenating English.vtt

4.7 KB

138 - Merging and Concatenating.mp4

25.6 MB

139 - Data Cleaning Part 1 English.vtt

6.4 KB

139 - Data Cleaning Part 1.mp4

31.4 MB

140 - Data Cleaning Part 2 English.vtt

5.5 KB

140 - Data Cleaning Part 2.mp4

17.1 MB

141 - What are the most successful countries of all times English.vtt

8.1 KB

141 - What are the most successful countries of all times.mp4

26.5 MB

142 - Do GDP Population and Politics matter English.vtt

10.9 KB

142 - Do GDP Population and Politics matter.mp4

34.7 MB

143 - Statistical Analysis and Hypothesis Testing with scipy English.vtt

11.7 KB

143 - Statistical Analysis and Hypothesis Testing with scipy.mp4

53.4 MB

144 - Aggregating and Ranking English.vtt

5.3 KB

144 - Aggregating and Ranking.mp4

27.9 MB

145 - Summer Games vs Winter Games does Geographical Location matter English.vtt

4.6 KB

145 - Summer Games vs Winter Games does Geographical Location matter.mp4

24.3 MB

146 - Men vs Women do Culture & Religion matter English.vtt

3.6 KB

146 - Men vs Women do Culture & Religion matter.mp4

15.7 MB

147 - Do Traditions matter English.vtt

6.7 KB

147 - Do Traditions matter.mp4

33.0 MB

/14 - Extra Project Prepare yourself for the Future Pandas Version 10/

148 - Intro and Overview English.vtt

2.3 KB

148 - Intro and Overview.mp4

11.6 MB

149 - How to update Pandas to Version 10.html

0.1 KB

150 - Course-Materials-Version-1-0.zip

28.0 KB

150 - Downloads for this Section.html

0.1 KB

151 - Important Recap Pandas Display Options Changed in Version 025 English.vtt

5.7 KB

151 - Important Recap Pandas Display Options Changed in Version 025.mp4

19.9 MB

152 - Info method new and extended output English.vtt

2.0 KB

152 - Info method new and extended output.mp4

7.9 MB

153 - NEW Extension dtypes nullable dtypes Why do we need them English.vtt

5.0 KB

153 - NEW Extension dtypes nullable dtypes Why do we need them.mp4

16.3 MB

154 - Creating the NEW extension dtypes with convertdtypes English.vtt

4.3 KB

154 - Creating the NEW extension dtypes with convertdtypes.mp4

20.0 MB

155 - NEW pdNA value for missing values English.vtt

6.6 KB

155 - NEW pdNA value for missing values.mp4

23.2 MB

156 - The NEW nullable Int64Dtype English.vtt

3.8 KB

156 - The NEW nullable Int64Dtype.mp4

16.2 MB

157 - The NEW StringDtype English.vtt

5.7 KB

157 - The NEW StringDtype.mp4

25.5 MB

158 - The NEW nullable BooleanDtype English.vtt

4.8 KB

158 - The NEW nullable BooleanDtype.mp4

13.4 MB

159 - Addition of the ignoreindex parameter English.vtt

4.1 KB

159 - Addition of the ignoreindex parameter.mp4

14.0 MB

160 - Removal of prior Version Deprecations English.vtt

6.6 KB

160 - Removal of prior Version Deprecations.mp4

42.2 MB

/15 - Appendix Pandas Crash Course/

161 - Intro to Tabular Data Pandas English.vtt

5.1 KB

161 - Intro to Tabular Data Pandas.mp4

11.0 MB

162 - Appendix-Materials.zip

640.8 KB

162 - Downloads for this Section.html

0.1 KB

163 - Create your very first Pandas DataFrame from csv English.vtt

9.5 KB

163 - Create your very first Pandas DataFrame from csv.mp4

58.2 MB

164 - Pandas Display Options and the methods head & tail English.vtt

7.1 KB

164 - Pandas Display Options and the methods head & tail.mp4

23.0 MB

165 - First Data Inspection English.vtt

13.0 KB

165 - First Data Inspection.mp4

45.3 MB

166 - Builtin Functions Attributes and Methods with Pandas English.vtt

9.6 KB

166 - Builtin Functions Attributes and Methods with Pandas.mp4

27.7 MB

167 - Selecting Columns English.vtt

5.8 KB

167 - Selecting Columns.mp4

21.6 MB

168 - Selecting one Column with the dot notation English.vtt

2.6 KB

168 - Selecting one Column with the dot notation.mp4

4.5 MB

169 - Zerobased Indexing and Negative Indexing English.vtt

3.6 KB

169 - Zerobased Indexing and Negative Indexing.mp4

6.3 MB

169 - positions.pdf

198.8 KB

170 - Selecting Rows with iloc positionbased indexing English.vtt

10.5 KB

170 - Selecting Rows with iloc positionbased indexing.mp4

64.0 MB

171 - Slicing Rows and Columns with iloc positionbased indexing English.vtt

4.9 KB

171 - Slicing Rows and Columns with iloc positionbased indexing.mp4

20.0 MB

172 - Positionbased Indexing Cheat Sheets.html

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172 - pandas-iloc.pdf

73.7 KB

173 - Selecting Rows with loc labelbased indexing English.vtt

3.5 KB

173 - Selecting Rows with loc labelbased indexing.mp4

11.8 MB

174 - Slicing Rows and Columns with loc labelbased indexing English.vtt

10.4 KB

174 - Slicing Rows and Columns with loc labelbased indexing.mp4

58.4 MB

175 - Labelbased Indexing Cheat Sheets.html

0.0 KB

175 - Pandas-loc.pdf

69.4 KB

176 - First Steps with Pandas Series English.vtt

4.4 KB

176 - First Steps with Pandas Series.mp4

15.0 MB

177 - Analyzing Numerical Series with unique nunique and valuecounts English.vtt

14.7 KB

177 - Analyzing Numerical Series with unique nunique and valuecounts.mp4

60.0 MB

178 - Analyzing nonnumerical Series with unique nunique valuecounts English.vtt

7.7 KB

178 - Analyzing nonnumerical Series with unique nunique valuecounts.mp4

19.8 MB

179 - Sorting of Series and Introduction to the inplace parameter English.vtt

9.8 KB

179 - Sorting of Series and Introduction to the inplace parameter.mp4

17.8 MB

180 - Filtering DataFrames by one Condition English.vtt

11.5 KB

180 - Filtering DataFrames by one Condition.mp4

24.7 MB

181 - Filtering DataFrames by many Conditions AND English.vtt

4.9 KB

181 - Filtering DataFrames by many Conditions AND.mp4

10.4 MB

182 - Filtering DataFrames by many Conditions OR English.vtt

5.1 KB

182 - Filtering DataFrames by many Conditions OR.mp4

13.6 MB

183 - Creating Columns based on other Columns English.vtt

7.6 KB

183 - Creating Columns based on other Columns.mp4

16.8 MB

184 - Userdefined Functions with apply map and applymap English.vtt

15.0 KB

184 - Userdefined Functions with apply map and applymap.mp4

34.7 MB

185 - Data Visualization with Matplotlib English.vtt

9.8 KB

185 - Data Visualization with Matplotlib.mp4

53.8 MB

186 - GroupBy an Introduction English.vtt

2.4 KB

186 - GroupBy an Introduction.mp4

4.2 MB

187 - Understanding the GroupBy Object English.vtt

9.0 KB

187 - Understanding the GroupBy Object.mp4

23.2 MB

188 - Splitting with many Keys English.vtt

7.4 KB

188 - Splitting with many Keys.mp4

33.3 MB

189 - splitapplycombine explained English.vtt

10.9 KB

189 - splitapplycombine explained.mp4

33.1 MB

190 - splitapplycombine applied English.vtt

12.9 KB

190 - splitapplycombine applied.mp4

48.9 MB

191 - Data with DateTime Information Part 1 English.vtt

8.8 KB

191 - Data with DateTime Information Part 1.mp4

20.8 MB

192 - Data with DateTime Information Part 2 English.vtt

10.1 KB

192 - Data with DateTime Information Part 2.mp4

39.5 MB

193 - Data with DateTime Information Part 3 English.vtt

6.1 KB

193 - Data with DateTime Information Part 3.mp4

16.3 MB

194 - Data with DateTime Information Part 4 English.vtt

7.4 KB

194 - Data with DateTime Information Part 4.mp4

39.1 MB

[CourseClub.Me].url

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/16 - What´s next outlook and additional resources/

195 - Bonus Lecture.html

13.9 KB

/2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/

10 - Data Import from csv file and first Inspection English.vtt

10.5 KB

10 - Data Import from csv file and first Inspection.mp4

66.1 MB

11 - The best and the worst movies Part 1 English.vtt

9.1 KB

11 - The best and the worst movies Part 1.mp4

32.4 MB

12 - The best and the worst movies Part 2 English.vtt

6.2 KB

12 - The best and the worst movies Part 2.mp4

23.0 MB

13 - Which Movie would you like to see next English.vtt

8.0 KB

13 - Which Movie would you like to see next.mp4

43.0 MB

14 - What are the most common Words in Movie Titles Taglines and Overviews English.vtt

6.3 KB

14 - What are the most common Words in Movie Titles Taglines and Overviews.mp4

60.5 MB

15 - Are Franchises more successful English.vtt

6.9 KB

15 - Are Franchises more successful.mp4

20.0 MB

16 - What are the most successful Franchises English.vtt

5.3 KB

16 - What are the most successful Franchises.mp4

28.7 MB

17 - The most successful Directors English.vtt

4.4 KB

17 - The most successful Directors.mp4

22.8 MB

18 - The most successful Actors Part 1 English.vtt

8.7 KB

18 - The most successful Actors Part 1.mp4

45.4 MB

19 - The most successful Actors Part 2 English.vtt

4.7 KB

19 - The most successful Actors Part 2.mp4

25.6 MB

20 - Now it´s your turn Homework.html

0.6 KB

7 - Project Overview English.vtt

1.3 KB

7 - Project Overview.mp4

15.5 MB

8 - Downloads Project 1 English.vtt

3.6 KB

8 - Downloads Project 1.mp4

10.3 MB

8 - Project-01-Materials.zip

15.9 MB

9 - Project Brief for SelfCoders English.vtt

5.3 KB

9 - Project Brief for SelfCoders.mp4

14.9 MB

/3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/

21 - Project Overview English.vtt

2.0 KB

21 - Project Overview.mp4

6.3 MB

22 - API-JSON.pdf

431.0 KB

22 - What is JSON English.vtt

3.2 KB

22 - What is JSON.mp4

6.1 MB

23 - Downloads Project 2.html

0.1 KB

23 - Project-02-Materials.zip

11.4 KB

24 - Project Brief for SelfCoders English.vtt

3.7 KB

24 - Project Brief for SelfCoders.mp4

12.9 MB

25 - Importing Data from JSON files English.vtt

12.2 KB

25 - Importing Data from JSON files.mp4

59.3 MB

26 - JSON and OrientationFormats English.vtt

5.8 KB

26 - JSON and OrientationFormats.mp4

38.0 MB

27 - What is an API The Movie Database API English.vtt

8.1 KB

27 - What is an API The Movie Database API.mp4

45.0 MB

28 - Working with APIs and JSON Part 1 English.vtt

6.7 KB

28 - Working with APIs and JSON Part 1.mp4

33.6 MB

29 - How to work with your own APIKEY English.vtt

1.7 KB

29 - How to work with your own APIKEY.mp4

7.1 MB

30 - Working with APIs and JSON Part 2 English.vtt

3.9 KB

30 - Working with APIs and JSON Part 2.mp4

26.8 MB

31 - Importing and Storing the Movies Dataset Best Practice English.vtt

6.8 KB

31 - Importing and Storing the Movies Dataset Best Practice.mp4

37.3 MB

32 - Importing and Storing the Movies Dataset Real World Scenario English.vtt

3.0 KB

32 - Importing and Storing the Movies Dataset Real World Scenario.mp4

12.5 MB

/4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/

33 - Project Overview English.vtt

1.4 KB

33 - Project Overview.mp4

3.0 MB

34 - Downloads Project 3.html

0.1 KB

34 - Project-03-Materials.zip

23.8 MB

35 - Project Brief for SelfCoders English.vtt

7.0 KB

35 - Project Brief for SelfCoders.mp4

27.5 MB

36 - First Steps English.vtt

3.1 KB

36 - First Steps.mp4

13.3 MB

37 - Dropping irrelevant Columns English.vtt

2.4 KB

37 - Dropping irrelevant Columns.mp4

9.5 MB

38 - How to handle stringified JSON columns Part 1 English.vtt

7.3 KB

38 - How to handle stringified JSON columns Part 1.mp4

32.5 MB

39 - How to handle stringified JSON columns Part 2 English.vtt

3.5 KB

39 - How to handle stringified JSON columns Part 2.mp4

15.5 MB

40 - How to flatten nested Columns English.vtt

8.1 KB

40 - How to flatten nested Columns.mp4

43.2 MB

41 - How to clean Numerical Columns Part 1 English.vtt

5.5 KB

41 - How to clean Numerical Columns Part 1.mp4

27.6 MB

42 - How to clean Numerical Columns Part 2 English.vtt

5.3 KB

42 - How to clean Numerical Columns Part 2.mp4

25.7 MB

43 - How to clean Columns with DateTime Information English.vtt

2.2 KB

43 - How to clean Columns with DateTime Information.mp4

12.2 MB

44 - How to clean String Text Columns English.vtt

3.2 KB

44 - How to clean String Text Columns.mp4

26.1 MB

45 - How to remove Duplicates English.vtt

4.1 KB

45 - How to remove Duplicates.mp4

17.9 MB

46 - Handling Missing Values & Removing ObervationsRows English.vtt

6.8 KB

46 - Handling Missing Values & Removing ObervationsRows.mp4

28.8 MB

47 - Final Steps English.vtt

4.0 KB

47 - Final Steps.mp4

20.7 MB

/5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/

48 - Project Overview English.vtt

0.9 KB

48 - Project Overview.mp4

2.1 MB

49 - Downloads Project 4.html

0.1 KB

49 - Project-04-Materials.zip

73.0 MB

50 - Project Brief for SelfCoders English.vtt

3.4 KB

50 - Project Brief for SelfCoders.mp4

11.3 MB

51 - Getting the Datasets English.vtt

2.4 KB

51 - Getting the Datasets.mp4

18.6 MB

52 - Preparing the Data for Merge English.vtt

2.4 KB

52 - Preparing the Data for Merge.mp4

7.0 MB

53 - Merging the Data Left Join English.vtt

3.6 KB

53 - Merging the Data Left Join.mp4

14.6 MB

54 - Cleaning and Transforming the new Cast Column English.vtt

4.5 KB

54 - Cleaning and Transforming the new Cast Column.mp4

35.4 MB

55 - Cleaning and Transforming the new Crew Column English.vtt

4.1 KB

55 - Cleaning and Transforming the new Crew Column.mp4

27.7 MB

56 - Final Steps English.vtt

1.1 KB

56 - Final Steps.mp4

3.6 MB

/6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/

57 - Project Overview English.vtt

1.0 KB

57 - Project Overview.mp4

2.5 MB

58 - What is a Database SQL English.vtt

4.7 KB

58 - What is a Database SQL.mp4

11.1 MB

59 - Downloads Project 5.html

0.1 KB

59 - Project-05-Materials.zip

12.3 KB

60 - Project Brief for SelfCoders English.vtt

4.1 KB

60 - Project Brief for SelfCoders.mp4

23.2 MB

61 - How to create an SQLite Database English.vtt

4.0 KB

61 - How to create an SQLite Database.mp4

10.7 MB

62 - How to load Data from DataFrames into an SQLite Database English.vtt

7.4 KB

62 - How to load Data from DataFrames into an SQLite Database.mp4

50.6 MB

63 - How to load Data from SQLite Databases into DataFrames English.vtt

3.5 KB

63 - How to load Data from SQLite Databases into DataFrames.mp4

17.3 MB

64 - Some simple SQL Queries English.vtt

6.7 KB

64 - Some simple SQL Queries.mp4

30.2 MB

65 - Some more SQL Queries English.vtt

6.5 KB

65 - Some more SQL Queries.mp4

34.8 MB

66 - Join Queries English.vtt

5.2 KB

66 - Join Queries.mp4

23.9 MB

67 - Final Case Study English.vtt

5.9 KB

67 - Final Case Study.mp4

31.8 MB

/7 - Project 6 Importing & Concatenating many files Baby Names Dataset/

68 - Project Overview English.vtt

0.8 KB

68 - Project Overview.mp4

2.0 MB

69 - Downloads Project 6.html

0.1 KB

69 - Project-06-Materials.zip

67.4 MB

70 - Project Brief for SelfCoders Part 1 English.vtt

2.2 KB

70 - Project Brief for SelfCoders Part 1.mp4

11.6 MB

71 - Getting the Data from the Web English.vtt

3.3 KB

71 - Getting the Data from the Web.mp4

8.1 MB

72 - Importing one File & Understanding the Data Structure easy case English.vtt

4.8 KB

72 - Importing one File & Understanding the Data Structure easy case.mp4

18.6 MB

73 - Importing & merging many Files easy case English.vtt

11.1 KB

73 - Importing & merging many Files easy case.mp4

28.8 MB

74 - Final Steps English.vtt

1.9 KB

74 - Final Steps.mp4

4.7 MB

75 - Project Brief for SelfCoders Part 2 English.vtt

2.9 KB

75 - Project Brief for SelfCoders Part 2.mp4

14.4 MB

76 - Importing one File & Understanding the Data Structure complex case English.vtt

2.4 KB

76 - Importing one File & Understanding the Data Structure complex case.mp4

5.5 MB

77 - The glob module English.vtt

4.2 KB

77 - The glob module.mp4

9.9 MB

78 - Importing & merging many Files complex case English.vtt

2.9 KB

78 - Importing & merging many Files complex case.mp4

8.3 MB

79 - Excursus Saving Memory Categorical Features English.vtt

2.6 KB

79 - Excursus Saving Memory Categorical Features.mp4

6.6 MB

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0.1 KB

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/8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/

80 - Project Overview English.vtt

0.9 KB

80 - Project Overview.mp4

2.4 MB

81 - Downloads Project 7.html

0.1 KB

81 - Project-07-Materials.zip

9.1 MB

82 - Project Brief for SelfCoders English.vtt

8.0 KB

82 - Project Brief for SelfCoders.mp4

44.5 MB

83 - First Inspection The most popular Names in 2018 English.vtt

3.8 KB

83 - First Inspection The most popular Names in 2018.mp4

12.8 MB

84 - Evergreen Names 1880 2018 English.vtt

2.9 KB

84 - Evergreen Names 1880 2018.mp4

8.4 MB

85 - Advanced Data Aggregation English.vtt

6.3 KB

85 - Advanced Data Aggregation.mp4

16.9 MB

86 - What are the most popular Names of all Times English.vtt

2.6 KB

86 - What are the most popular Names of all Times.mp4

12.1 MB

87 - General Trends over Time 1880 2018 English.vtt

5.2 KB

87 - General Trends over Time 1880 2018.mp4

15.8 MB

88 - Creating the Features Popularity and Rank English.vtt

6.1 KB

88 - Creating the Features Popularity and Rank.mp4

18.3 MB

89 - Visualizing Name Trends over Time English.vtt

8.4 KB

89 - Visualizing Name Trends over Time.mp4

44.5 MB

90 - Why does a Name´s Popularity suddenly change Part 1 English.vtt

7.3 KB

90 - Why does a Name´s Popularity suddenly change Part 1.mp4

21.7 MB

91 - Why does a Name´s Popularity suddenly change Part 2 English.vtt

5.6 KB

91 - Why does a Name´s Popularity suddenly change Part 2.mp4

29.2 MB

92 - Persistant vs SpikeFade Names English.vtt

3.9 KB

92 - Persistant vs SpikeFade Names.mp4

29.4 MB

93 - Most Popular Unisex Names English.vtt

6.8 KB

93 - Most Popular Unisex Names.mp4

27.9 MB

/9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/

100 - Advanced Explanatory Data Analyis with Seaborn English.vtt

10.7 KB

100 - Advanced Explanatory Data Analyis with Seaborn.mp4

43.1 MB

101 - Feature Engineering Part 1 English.vtt

3.5 KB

101 - Feature Engineering Part 1.mp4

16.3 MB

102 - Feature Engineering Part 2 English.vtt

4.9 KB

102 - Feature Engineering Part 2.mp4

11.5 MB

103 - Splitting the Data into Train and Test Set English.vtt

7.4 KB

103 - Splitting the Data into Train and Test Set.mp4

17.6 MB

104 - Training the ML Model Random Forest English.vtt

5.4 KB

104 - Training the ML Model Random Forest.mp4

24.4 MB

105 - Evaluating the Model on the Test Set English.vtt

3.1 KB

105 - Evaluating the Model on the Test Set.mp4

13.1 MB

106 - Feature Importance English.vtt

2.6 KB

106 - Feature Importance.mp4

6.2 MB

94 - Project Overview English.vtt

1.3 KB

94 - Project Overview.mp4

3.4 MB

95 - Downloads Project 8.html

0.1 KB

95 - Project-08-Materials.zip

1.6 MB

96 - Project Brief for SelfCoders English.vtt

6.2 KB

96 - Project Brief for SelfCoders.mp4

34.9 MB

97 - Data Import and first Inspection English.vtt

6.4 KB

97 - Data Import and first Inspection.mp4

30.8 MB

98 - Data Cleaning and Creating additional Features English.vtt

5.8 KB

98 - Data Cleaning and Creating additional Features.mp4

25.5 MB

99 - Which Factors influence House Prices English.vtt

14.1 KB

99 - Which Factors influence House Prices.mp4

75.9 MB

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[CourseClub.Me].url

0.1 KB

[GigaCourse.Com].url

0.0 KB

 

Total files 399


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