Packt-Python-and-Data-Sc-1sIpf
- 01.Introduction\\/0101.Introduction.mp416.81MB
- 02.Environment\\/0201.Introduction to data science.mp4235.01MB
- 02.Environment\\/0202.Installing dependencies.mp439.32MB
- 02.Environment\\/0203.Real world examples.mp430.11MB
- 02.Environment\\/0204.Using Anaconda and Jupyter notebooks.mp455.20MB
- 03.Integers to variables.mp458.59MB
- 03.Integers floats and th operators.mp453.81MB
- 03.Integers and Strings\\/0303.Strings and indexing part 1.mp438.02MB
- 03.Integers and Strings\\/0304.Strings and indexing part 2.mp432.92MB
- 03.Integers Modulo with Strings.mp431.98MB
- 03.Integers and Strings\\/0306.Problem.mp410.76MB
- 03.Integers and Strings\\/0307.Answer.mp425.99MB
- 04.If Statements and Basic Programming Logic\\/0401.Booleans and Comparison Operators.mp448.14MB
- 04.If Statements and Basic Programming Logic\\/0402.If Else Statements.mp438.73MB
- 04.If Statements and Basic Programming Logic\\/0403.Elif and Logic Operators.mp441.70MB
- 04.If Statements and Basic Programming Logic\\/0404.Try Except Statements.mp433.11MB
- 04.If Statements and Basic Programming Logic\\/0405.Finally Statements and Advance TryExcept Logic.mp432.45MB
- 04.If Statements and Basic Programming Logic\\/0406.Exception Types.mp451.21MB
- 04.If Statements and Basic Programming Logic\\/0407.Problem.mp47.69MB
- 04.If Statements and Basic Programming Logic\\/0408.Answer.mp425.06MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0501.Lists and tuples.mp470.97MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0502.Dictionaries.mp464.00MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0503.For loops.mp461.90MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0504.While loops.mp434.75MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0505.Loop logic.mp450.45MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0506.ListDictionary comprehensions.mp447.26MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0507.Problem.mp47.09MB
- 05.Lists Tuples Dictionaries and ForWhile Loops\\/0508.Answer.mp442.31MB
- 06.Functions and Packages\\/0601.sc<x>ripting in Python.mp450.26MB
- 06.Functions and Packages\\/0602.Functions.mp449.49MB
- 06.Functions and Packages\\/0603.Function parameters and scope.mp439.86MB
- 06.Functions and Packages\\/0604.Packages and pip.mp449.02MB
- 06.Functions and Packages\\/0605.Reading Files and the with statement.mp466.99MB
- 06.Functions and Packages\\/0606.Writing Out to Files.mp481.04MB
- 06.Functions and Packages\\/0607.Problem.mp48.84MB
- 06.Functions and Packages\\/0608.Answer.mp431.48MB
- 07.Pandas and Data fr<x>ames\\/0701.Pandas and data fr<x>ames.mp451.13MB
- 07.Pandas and Data fr<x>ames\\/0702.Pandas part 2.mp467.01MB
- 07.Pandas to statistics.mp452.11MB
- 07.Pandas and Data fr<x>ames\\/0704.Statistics part 2.mp440.67MB
- 07.Pandas and Data fr<x>ames\\/0705.Practical analysis.mp459.52MB
- 07.Pandas and Data fr<x>ames\\/0706.Problem.mp417.30MB
- 07.Pandas and Data fr<x>ames\\/0707.Answer.mp423.36MB
- 08.Visualization to visualization.mp452.74MB
- 08.Visualization - Scatter Plots Bar Plots\\/0802.Plotting and styling.mp455.90MB
- 08.Visualization - Scatter Plots Bar Plots\\/0803.Scatter plots.mp450.52MB
- 08.Visualization - Scatter Plots Bar Plots\\/0804.Bar Plots and standard deviation.mp453.35MB
- 08.Visualization - Scatter Plots Bar Plots\\/0805.Problem.mp412.62MB
- 08.Visualization - Scatter Plots Bar Plots\\/0806.Answer.mp450.23MB
- 09.Scraping the Web with Python\\/0901.Scraping and HTML.mp447.59MB
- 09.Scraping the Web with Python\\/0902.Building a simple crawler.mp447.31MB
- 09.Scraping the Web with Python\\/0903.Scraping data from HTML.mp457.00MB
- 09.Scraping the Web with Python\\/0904.Problem.mp411.65MB
- 09.Scraping the Web with Python\\/0905.Answer.mp436.28MB
- 10.Basics to NLP.mp451.80MB
- 10.Basics of Natural Language Processing (NLP)\\/1002.Basic NLP.mp463.97MB
- 10.Basics to sentiment analysis.mp474.33MB
- 10.Basics of Natural Language Processing (NLP)\\/1004.Problem.mp48.29MB
- 10.Basics of Natural Language Processing (NLP)\\/1005.Answer.mp433.17MB
- 11.Introduction to chine learning.mp460.38MB
- 11.Introduction to reinforcement learning.mp419.56MB
- 11.Introduction to random forest modeling.mp464.37MB
- 11.Introduction to deep learning.mp461.40MB
- 11.Introduction to chine Learning\\/1105.Problem.mp424.08MB
- 11.Introduction to chine Learning\\/1106.Answer.mp429.67MB
- 12.Optional Classes\\/1201.Python st<x>yle Guidelines.mp444.35MB
- 12.Optional Classes\\/1202.Nigating Directories and os Package.mp448.43MB
- 12.Optional Classes\\/1203.Creating a Class Type.mp445.69MB
- 13.Project #1 - Analyze and visualize data on Kaggle\\/1301.Project 1 - Analyze and visualize data on Kaggle.mp417.77MB
- 13.Project #1 - Analyze and visualize data on Kaggle\\/1302.Project 1 Answer.mp411.88MB
- 14.Project #2 - Natural language processing\\/1401.Project 2 - Natural language processing.mp47.02MB
- 14.Project #2 - Natural language processing\\/1402.Project 2 Answer.mp420.10MB
- 15.Project #3 - Create a simple support vector chine\\/1501.Project 3 - Create a simple support vector machine.mp419.63MB
- 15.Project #3 - Create a simple support vector chine\\/1502.Project 3 Answer.mp443.07MB
- FreeCoursesOnline.Me.html108.30KB
- FTUForum.com.html100.44KB
- CreateTime2023-04-07
- UpdateTime2023-04-26
- FileTotalCount80
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