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[FreeCoursesOnline.Me] [Packt] Python and Data Science A Practical Guide [FCO]

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File Name
Size
01.Introduction/0101.Introduction.mp4
17 MB
02.Environment/0201.Introduction to data science.mp4
235 MB
02.Environment/0202.Installing dependencies.mp4
39 MB
02.Environment/0203.Real world examples.mp4
30 MB
02.Environment/0204.Using Anaconda and Jupyter notebooks.mp4
55 MB
03.Integers and Strings/0301.Introduction to variables.mp4
59 MB
03.Integers and Strings/0302.Integers, floats, and math operators.mp4
54 MB
03.Integers and Strings/0303.Strings and indexing part 1.mp4
38 MB
03.Integers and Strings/0304.Strings and indexing part 2.mp4
33 MB
03.Integers and Strings/0305.Using Modulo with Strings.mp4
32 MB
03.Integers and Strings/0306.Problem.mp4
11 MB
03.Integers and Strings/0307.Answer.mp4
26 MB
04.If Statements and Basic Programming Logic/0401.Booleans and Comparison Operators.mp4
48 MB
04.If Statements and Basic Programming Logic/0402.If Else Statements.mp4
39 MB
04.If Statements and Basic Programming Logic/0403.Elif and Logic Operators.mp4
42 MB
04.If Statements and Basic Programming Logic/0404.Try Except Statements.mp4
33 MB
04.If Statements and Basic Programming Logic/0405.Finally Statements and Advance TryExcept Logic.mp4
32 MB
04.If Statements and Basic Programming Logic/0406.Exception Types.mp4
51 MB
04.If Statements and Basic Programming Logic/0407.Problem.mp4
7.7 MB
04.If Statements and Basic Programming Logic/0408.Answer.mp4
25 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0501.Lists and tuples.mp4
71 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0502.Dictionaries.mp4
64 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0503.For loops.mp4
62 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0504.While loops.mp4
35 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0505.Loop logic.mp4
50 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0506.ListDictionary comprehensions.mp4
47 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0507.Problem.mp4
7.1 MB
05.Lists, Tuples, Dictionaries and ForWhile Loops/0508.Answer.mp4
42 MB
06.Functions and Packages/0601.Scripting in Python.mp4
50 MB
06.Functions and Packages/0602.Functions.mp4
50 MB
06.Functions and Packages/0603.Function parameters and scope.mp4
40 MB
06.Functions and Packages/0604.Packages and pip.mp4
49 MB
06.Functions and Packages/0605.Reading Files and the with statement.mp4
67 MB
06.Functions and Packages/0606.Writing Out to Files.mp4
81 MB
06.Functions and Packages/0607.Problem.mp4
8.8 MB
06.Functions and Packages/0608.Answer.mp4
32 MB
07.Pandas and Data Frames/0701.Pandas and data Frames.mp4
51 MB
07.Pandas and Data Frames/0702.Pandas part 2.mp4
67 MB
07.Pandas and Data Frames/0703.Introduction to statistics.mp4
52 MB
07.Pandas and Data Frames/0704.Statistics part 2.mp4
41 MB
07.Pandas and Data Frames/0705.Practical analysis.mp4
60 MB
07.Pandas and Data Frames/0706.Problem.mp4
17 MB
07.Pandas and Data Frames/0707.Answer.mp4
23 MB
08.Visualization - Scatter Plots, Bar Plots/0801.Introduction to visualization.mp4
53 MB
08.Visualization - Scatter Plots, Bar Plots/0802.Plotting and styling.mp4
56 MB
08.Visualization - Scatter Plots, Bar Plots/0803.Scatter plots.mp4
50 MB
08.Visualization - Scatter Plots, Bar Plots/0804.Bar Plots and standard deviation.mp4
53 MB
08.Visualization - Scatter Plots, Bar Plots/0805.Problem.mp4
13 MB
08.Visualization - Scatter Plots, Bar Plots/0806.Answer.mp4
50 MB
09.Scraping the Web with Python/0901.Scraping and HTML.mp4
48 MB
09.Scraping the Web with Python/0902.Building a simple crawler.mp4
47 MB
09.Scraping the Web with Python/0903.Scraping data from HTML.mp4
57 MB
09.Scraping the Web with Python/0904.Problem.mp4
12 MB
09.Scraping the Web with Python/0905.Answer.mp4
36 MB
10.Basics of Natural Language Processing (NLP)/1001.Introduction to NLP.mp4
52 MB
10.Basics of Natural Language Processing (NLP)/1002.Basic NLP.mp4
64 MB
10.Basics of Natural Language Processing (NLP)/1003.Introduction to sentiment analysis.mp4
74 MB
10.Basics of Natural Language Processing (NLP)/1004.Problem.mp4
8.3 MB
10.Basics of Natural Language Processing (NLP)/1005.Answer.mp4
33 MB
11.Introduction to Machine Learning/1101.Introduction to machine learning.mp4
60 MB
11.Introduction to Machine Learning/1102.Introduction to reinforcement learning.mp4
20 MB
11.Introduction to Machine Learning/1103.Introduction to random forest modeling.mp4
64 MB
11.Introduction to Machine Learning/1104.Introduction to deep learning.mp4
61 MB
11.Introduction to Machine Learning/1105.Problem.mp4
24 MB
11.Introduction to Machine Learning/1106.Answer.mp4
30 MB
12.Optional Classes/1201.Python Style Guidelines.mp4
44 MB
12.Optional Classes/1202.Navigating Directories and os Package.mp4
48 MB
12.Optional Classes/1203.Creating a Class Type.mp4
46 MB
13.Project #1 - Analyze and visualize data on Kaggle/1301.Project 1 - Analyze and visualize data on Kaggle.mp4
18 MB
13.Project #1 - Analyze and visualize data on Kaggle/1302.Project 1 Answer.mp4
12 MB
14.Project #2 - Natural language processing/1401.Project 2 - Natural language processing.mp4
7.0 MB
14.Project #2 - Natural language processing/1402.Project 2 Answer.mp4
20 MB
15.Project #3 - Create a simple support vector machine/1501.Project 3 - Create a simple support vector machine.mp4
20 MB
15.Project #3 - Create a simple support vector machine/1502.Project 3 Answer.mp4
43 MB
Discuss.FTUForum.com.html
32 kB
FreeCoursesOnline.Me.html
108 kB
FTUForum.com.html
100 kB
How you can help Team-FTU.txt
235 B
[TGx]Downloaded from torrentgalaxy.org.txt
524 B
Torrent Downloaded From GloDls.to.txt
84 B