FreeCoursesOnline Me Packt Python and Data Science A Practical Guide FCO

1. 01.Introduction/0101.Introduction.mp416.81MB
2. 02.Environment/0201.Introduction to data science.mp4235.01MB
3. 02.Environment/0202.Installing dependencies.mp439.32MB
4. 02.Environment/0203.Real world examples.mp430.11MB
5. 02.Environment/0204.Using Anaconda and Jupyter notebooks.mp455.2MB
6. 03.Integers and Strings/0301.Introduction to variables.mp458.59MB
7. 03.Integers and Strings/0302.Integers, floats, and math operators.mp453.81MB
8. 03.Integers and Strings/0303.Strings and indexing part 1.mp438.02MB
9. 03.Integers and Strings/0304.Strings and indexing part 2.mp432.92MB
10. 03.Integers and Strings/0305.Using Modulo with Strings.mp431.98MB
11. 03.Integers and Strings/0306.Problem.mp410.76MB
12. 03.Integers and Strings/0307.Answer.mp425.99MB
13. 04.If Statements and Basic Programming Logic/0401.Booleans and Comparison Operators.mp448.14MB
14. 04.If Statements and Basic Programming Logic/0402.If Else Statements.mp438.73MB
15. 04.If Statements and Basic Programming Logic/0403.Elif and Logic Operators.mp441.7MB
16. 04.If Statements and Basic Programming Logic/0404.Try Except Statements.mp433.11MB
17. 04.If Statements and Basic Programming Logic/0405.Finally Statements and Advance TryExcept Logic.mp432.45MB
18. 04.If Statements and Basic Programming Logic/0406.Exception Types.mp451.21MB
19. 04.If Statements and Basic Programming Logic/0407.Problem.mp47.69MB
20. 04.If Statements and Basic Programming Logic/0408.Answer.mp425.06MB
21. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0501.Lists and tuples.mp470.97MB
22. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0502.Dictionaries.mp464MB
23. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0503.For loops.mp461.9MB
24. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0504.While loops.mp434.75MB
25. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0505.Loop logic.mp450.45MB
26. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0506.ListDictionary comprehensions.mp447.26MB
27. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0507.Problem.mp47.09MB
28. 05.Lists, Tuples, Dictionaries and ForWhile Loops/0508.Answer.mp442.31MB
29. 06.Functions and Packages/0601.Scripting in Python.mp450.26MB
30. 06.Functions and Packages/0602.Functions.mp449.49MB
31. 06.Functions and Packages/0603.Function parameters and scope.mp439.86MB
32. 06.Functions and Packages/0604.Packages and pip.mp449.02MB
33. 06.Functions and Packages/0605.Reading Files and the with statement.mp466.99MB
34. 06.Functions and Packages/0606.Writing Out to Files.mp481.04MB
35. 06.Functions and Packages/0607.Problem.mp48.84MB
36. 06.Functions and Packages/0608.Answer.mp431.48MB
37. 07.Pandas and Data Frames/0701.Pandas and data Frames.mp451.13MB
38. 07.Pandas and Data Frames/0702.Pandas part 2.mp467.01MB
39. 07.Pandas and Data Frames/0703.Introduction to statistics.mp452.11MB
40. 07.Pandas and Data Frames/0704.Statistics part 2.mp440.67MB
41. 07.Pandas and Data Frames/0705.Practical analysis.mp459.52MB
42. 07.Pandas and Data Frames/0706.Problem.mp417.3MB
43. 07.Pandas and Data Frames/0707.Answer.mp423.36MB
44. 08.Visualization - Scatter Plots, Bar Plots/0801.Introduction to visualization.mp452.74MB
45. 08.Visualization - Scatter Plots, Bar Plots/0802.Plotting and styling.mp455.9MB
46. 08.Visualization - Scatter Plots, Bar Plots/0803.Scatter plots.mp450.52MB
47. 08.Visualization - Scatter Plots, Bar Plots/0804.Bar Plots and standard deviation.mp453.35MB
48. 08.Visualization - Scatter Plots, Bar Plots/0805.Problem.mp412.62MB
49. 08.Visualization - Scatter Plots, Bar Plots/0806.Answer.mp450.23MB
50. 09.Scraping the Web with Python/0901.Scraping and HTML.mp447.59MB
51. 09.Scraping the Web with Python/0902.Building a simple crawler.mp447.31MB
52. 09.Scraping the Web with Python/0903.Scraping data from HTML.mp457MB
53. 09.Scraping the Web with Python/0904.Problem.mp411.65MB
54. 09.Scraping the Web with Python/0905.Answer.mp436.28MB
55. 10.Basics of Natural Language Processing (NLP)/1001.Introduction to NLP.mp451.8MB
56. 10.Basics of Natural Language Processing (NLP)/1002.Basic NLP.mp463.97MB
57. 10.Basics of Natural Language Processing (NLP)/1003.Introduction to sentiment analysis.mp474.33MB
58. 10.Basics of Natural Language Processing (NLP)/1004.Problem.mp48.29MB
59. 10.Basics of Natural Language Processing (NLP)/1005.Answer.mp433.17MB
60. 11.Introduction to Machine Learning/1101.Introduction to machine learning.mp460.38MB
61. 11.Introduction to Machine Learning/1102.Introduction to reinforcement learning.mp419.56MB
62. 11.Introduction to Machine Learning/1103.Introduction to random forest modeling.mp464.37MB
63. 11.Introduction to Machine Learning/1104.Introduction to deep learning.mp461.4MB
64. 11.Introduction to Machine Learning/1105.Problem.mp424.08MB
65. 11.Introduction to Machine Learning/1106.Answer.mp429.67MB
66. 12.Optional Classes/1201.Python Style Guidelines.mp444.35MB
67. 12.Optional Classes/1202.Navigating Directories and os Package.mp448.43MB
68. 12.Optional Classes/1203.Creating a Class Type.mp445.69MB
69. 13.Project #1 - Analyze and visualize data on Kaggle/1301.Project 1 - Analyze and visualize data on Kaggle.mp417.77MB
70. 13.Project #1 - Analyze and visualize data on Kaggle/1302.Project 1 Answer.mp411.88MB
71. 14.Project #2 - Natural language processing/1401.Project 2 - Natural language processing.mp47.02MB
72. 14.Project #2 - Natural language processing/1402.Project 2 Answer.mp420.1MB
73. 15.Project #3 - Create a simple support vector machine/1501.Project 3 - Create a simple support vector machine.mp419.63MB
74. 15.Project #3 - Create a simple support vector machine/1502.Project 3 Answer.mp443.07MB