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001 0 All you need to know about Series.mp4
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001 0 All you need to know about Series_en.srt
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001 34 What are Tensors.mp4
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001 34 What are Tensors_en.srt
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001 39 Matplotlib - a how to guide.mp4
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001 42 Seaborn introduction.mp4
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001 42 Seaborn introduction_en.srt
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001 39 Matplotlib - a how to guide_en.srt
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001 Introduction - Why are you here and what we will accomplish here.mp4
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001 Introduction - Why are you here and what we will accomplish here_en.srt
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002 35 Introduction to numpy 1_en.srt
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002 43 how to master seaborn 1.mp4
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002 1 pandas for data scientists.mp4
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002 1 pandas for data scientists_en.srt
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002 35 Introduction to numpy 1.mp4
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002 40 Matplotlib - advanced.mp4
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002 40 Matplotlib - advanced_en.srt
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002 43 how to master seaborn 1_en.srt
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002 One important thing before you start.html
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003 41 Matplotlib - advanced.mp4
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003 What are the prerequesits for data science and this course.mp4
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003 What are the prerequesits for data science and this course_en.srt
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003 2 pandas for data scientists.mp4
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003 2 pandas for data scientists_en.srt
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003 36 Introduction to numpy 2.mp4
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003 36 Introduction to numpy 2_en.srt
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003 41 Matplotlib - advanced_en.srt
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003 44 how to master seaborn 2.mp4
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003 44 how to master seaborn 2_en.srt
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004 3 pandas for data scientists.mp4
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004 3 pandas for data scientists_en.srt
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004 37 Introduction to numpy 3.mp4
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004 37 Introduction to numpy 3_en.srt
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004 45 how to master seaborn 3.mp4
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004 45 how to master seaborn 3_en.srt
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004 Check you system.mp4
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004 Check you system_en.srt
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005 4 pandas for data scientists.mp4
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005 38 Introduction to numpy 4.mp4
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005 38 Introduction to numpy 4_en.srt
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005 4 pandas for data scientists_en.srt
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005 46 how to master seaborn 4.mp4
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005 46 how to master seaborn 4_en.srt
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005 Download all the source files.html
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005 Pokemon-Color-Palette.txt
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005 Pokemon.csv
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005 baseball.csv
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005 matches.csv
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005 pima-indians-diabetes.csv
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005 sales2.csv
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005 test.csv
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005 titanicexcel.csv
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005 train.csv
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005 transit-segments.csv
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006 47 how to master seaborn 5.mp4
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006 47 how to master seaborn 5_en.srt
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006 5 Broadcasting operations.mp4
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006 5 Broadcasting operations_en.srt
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007 48 how to master seaborn 6.mp4
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007 48 how to master seaborn 6_en.srt
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007 6 Counting.mp4
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007 6 Counting_en.srt
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008 49 how to master seaborn 7.mp4
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008 49 how to master seaborn 7_en.srt
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008 7 The issue with missing values - a common problem in machine learning.mp4
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008 7 The issue with missing values - a common problem in machine learning_en.srt
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009 50 how to master seaborn 8.mp4
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009 50 how to master seaborn 8_en.srt
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009 8 Dealing with missing values 2.mp4
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009 8 Dealing with missing values 2_en.srt
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010 51 how to master seaborn 9.mp4
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010 9 The right data in the right format.mp4
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010 51 how to master seaborn 9_en.srt
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010 9 The right data in the right format_en.srt
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011 10 Sorting your data properly.mp4
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011 10 Sorting your data properly_en.srt
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011 52 how to master seaborn 10.mp4
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011 52 how to master seaborn 10_en.srt
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012 11 How to slice your data 1.mp4
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012 11 How to slice your data 1_en.srt
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012 53 how to master seaborn 11.mp4
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012 53 how to master seaborn 11_en.srt
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013 12 How to slice your data 2.mp4
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013 54 how to master seaborn 12_en.srt
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013 12 How to slice your data 2_en.srt
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013 54 how to master seaborn 12.mp4
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014 13 How to check for missing values.mp4
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014 13 How to check for missing values_en.srt
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014 55 how to master seaborn 13.mp4
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014 55 how to master seaborn 13_en.srt
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015 14 A machine learning insight - a full case study.mp4
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015 56 how to master seaborn 14.mp4
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015 56 how to master seaborn 14_en.srt
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015 14 A machine learning insight - a full case study_en.srt
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016 15 Master dates.mp4
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016 15 Master dates_en.srt
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016 57 The end of the road - What to do now.mp4
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016 57 The end of the road - What to do now_en.srt
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017 16 How to deal with dublicates.mp4
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017 16 How to deal with dublicates_en.srt
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017 More learning resources for your AI learning journey.html
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018 17 How to play with the Index.mp4
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018 17 How to play with the Index_en.srt
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018 Bonus - How to use Transfer learning to predict ice cream.mp4
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018 Bonus - How to use Transfer learning to predict ice cream_en.srt
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019 18 Slicing techniques.mp4
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019 18 Slicing techniques_en.srt
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019 If you like my teaching style and want to continue learning together.html
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020 19 Slicing techniques 2_en.srt
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020 19 Slicing techniques 2.mp4
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021 20 More data science techniques in pandas.mp4
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021 20 More data science techniques in pandas_en.srt
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022 21 Data querying in pandas.mp4
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022 21 Data querying in pandas_en.srt
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023 22 How to work with dates.mp4
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023 22 How to work with dates_en.srt
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024 23 How to work with dates 2.mp4
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025 24 How to work with dates 3.mp4
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025 24 How to work with dates 3_en.srt
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026 25 How to work with dates 4.mp4
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026 25 How to work with dates 4_en.srt
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027 26 Grouping in pandas beginner to advanced.mp4
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027 26 Grouping in pandas beginner to advanced_en.srt
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028 27 The Multiindex.mp4
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028 27 The Multiindex_en.srt
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029 28 Data science and Finance.mp4
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029 28 Data science and Finance_en.srt
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030 29 In depth combining dataframes.mp4
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030 29 In depth combining dataframes_en.srt
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031 30 Useful ways to deal with strings (regex example).mp4
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031 30 Useful ways to deal with strings (regex example)_en.srt
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032 31 Bonus Tips and Tricks.mp4
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032 31 Bonus Tips and Tricks_en.srt
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033 32 Bonus Tips and Tricks 2.mp4
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034 33 Bonus Tips and Tricks 3.mp4
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034 33 Bonus Tips and Tricks 3_en.srt
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TutsNode.net.txt
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[TGx]Downloaded from torrentgalaxy.to .txt
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