Download [O’REILLY] Python for Data Science Complete Video Course Video Training [CC] torrent

[O’REILLY] Python for Data Science Complete Video Course Video Training [CC]

Torrent:	[O’REILLY] Python for Data Science Complete Video Course Video Training [CC]
Description:	[O’REILLY] Python for Data Science Complete Video Course Video Training While there are resources for Data Science and resources for Machine Learning, there’s a distinct gap in resources for the precursor course to Data Science and Machine Learning. For More Courses Visit: https://desirecourse.net For More Courses Visit: https://courseclub.me
Downloads:	167
Category:	Other /Tutorials
Size:	13.1 GB
Show Files »	[CourseClub.Me] O'REILLY - Python for Data Science Complete Video Course Video Training 01 - Python for Data Science Complete Video Course Video Training - Introduction.mp4 (76.6 MB) 02 - Learning objectives.mp4 (11.2 MB) 03 - 1.1 History of Python in data science.mp4 (78.1 MB) 04 - 1.2 Overview of Python data science libraries.mp4 (44.4 MB) 05 - 1.3 Future trends of Python in AI, ML, and data science.mp4 (77.5 MB) 06 - Learning objectives.mp4 (25.0 MB) 07 - 2.1 Create your first Colab document.mp4 (328.8 MB) 08 - 2.2 Manage Colab documents.mp4 (451.8 MB) 09 - 2.3 Use magic functions.mp4 (156.3 MB) 10 - 2.4 Understand compatibility with Jupyter.mp4 (258.1 MB) 11 - Learning objectives.mp4 (28.8 MB) 12 - 3.1 Write procedural code.mp4 (112.9 MB) 13 - 3.2 Use simple expressions and variables.mp4 (173.9 MB) 14 - 3.3 Work with the built-in types.mp4 (66.6 MB) 15 - 3.4 Learn to Print.mp4 (70.6 MB) 16 - 3.5 Perform basic math operations.mp4 (167.1 MB) 17 - 3.6 Use classes and objects with dot notation.mp4 (194.5 MB) 18 - Learning objectives.mp4 (17.0 MB) 19 - 4.1 Use string methods.mp4 (131.9 MB) 20 - 4.2 Format strings.mp4 (98.7 MB) 21 - 4.3 Manipulate strings - membership, slicing, and concatenation.mp4 (136.7 MB) 22 - 4.4 Learn to use unicode.mp4 (74.4 MB) 23 - Learning objectives.mp4 (22.5 MB) 24 - 5.1 Use lists and tuples.mp4 (370.0 MB) 25 - 5.2 Explore dictionaries.mp4 (213.3 MB) 26 - 5.3 Dive into sets.mp4 (83.0 MB) 27 - 5.4 Work with the numpy array.mp4 (234.4 MB) 28 - 5.5 Use the Pandas DataFrame.mp4 (116.8 MB) 29 - 5.6 Use the Pandas Series.mp4 (71.6 MB) 30 - Learning objectives.mp4 (24.0 MB) 31 - 6.1 Convert lists to dicts and back.mp4 (74.4 MB) 32 - 6.2 Convert dicts to Pandas Dataframe.mp4 (104.6 MB) 33 - 6.3 Convert characters to integers and back.mp4 (35.7 MB) 34 - 6.4 Convert between hexadecimal, binary, and floats.mp4 (101.4 MB) 35 - Learning objectives.mp4 (24.9 MB) 36 - 7.1 Learn to loop with for loops.mp4 (44.9 MB) 37 - 7.2 Repeat with while loops.mp4 (50.2 MB) 38 - 7.3 Learn to handle exceptions.mp4 (111.9 MB) 39 - 7.4 Use conditionals.mp4 (168.2 MB) 40 - Learning objectives.mp4 (22.5 MB) 41 - 8.1 Write and use functions.mp4 (206.5 MB) 42 - 8.2 Learn to use decorators.mp4 (210.9 MB) 43 - 8.3 Compose closure functions.mp4 (132.9 MB) 44 - 8.4 Use lambdas.mp4 (106.2 MB) 45 - 8.5 Advanced Use of Functions.mp4 (319.0 MB) 46 - Learning objectives.mp4 (33.8 MB) 47 - 9.1 Learn NumPy.mp4 (287.9 MB) 48 - 9.2 Learn SciPy.mp4 (665.0 MB) 49 - 9.3 Learn Pandas.mp4 (335.6 MB) 50 - 9.4 Learn TensorFlow.mp4 (341.9 MB) 51 - 9.5 Use Seaborn for 2D plots.mp4 (261.6 MB) 52 - 9.6 Use Plotly for interactive plots.mp4 (262.1 MB) 53 - 9.7 Specialized Visualization Libraries.mp4 (241.7 MB) 54 - 9.8 Learn Natural Language Processing Libraries.mp4 (124.9 MB) 55 - Learning objectives.mp4 (27.7 MB) 56 - 10.1 Understand functional programming.mp4 (151.1 MB) 57 - 10.2 Apply functions to data science workflows.mp4 (47.1 MB) 58 - 10.3 Use map_reduce_filter.mp4 (95.2 MB) 59 - 10.4 Use list comprehensions.mp4 (98.3 MB) 60 - 10.5 Use dictionary comprehensions.mp4 (15.4 MB) 61 - Learning objectives.mp4 (17.8 MB) 62 - 11.1 Use generators.mp4 (69.4 MB) 63 - 11.2 Design generator pipelines.mp4 (141.3 MB) 64 - 11.3 Implement lazy evaluation functions.mp4 (59.1 MB) 65 - Learning objectives.mp4 (21.0 MB) 66 - 12.1 Perform simple pattern matching.mp4 (97.1 MB) 67 - 12.2 Use regular expressions.mp4 (284.6 MB) 68 - 12.3 Learn text processing techniques - Beautiful Soup.mp4 (87.6 MB) 69 - Learning objectives.mp4 (18.2 MB) 70 - 13.1 Sort in Python.mp4 (186.7 MB) 71 - 13.2 Create custom sorting functions.mp4 (229.3 MB) 72 - 13.3 Sort in Pandas.mp4 (302.0 MB) 73 - Learning objectives.mp4 (22.1 MB) 74 - 14.1 Read and write files - file, pickle, CSV, JSON.mp4 (214.7 MB) 75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 (336.5 MB) 76 - 14.3 Read and write using web resources (requests, boto, github).mp4 (110.9 MB) 77 - 14.4 Use function-based concurrency.mp4 (608.1 MB) 78 - Learning objectives.mp4 (20.9 MB) 79 - 15.1 Share with Github.mp4 (358.1 MB) 80 - 15.2 Create Kaggle Kernels.mp4 (207.5 MB) 81 - 15.3 Collaborate with Colab.mp4 (125.2 MB) 82 - 15.4 Post public graphs with Plotly.mp4 (103.5 MB) 83 - Learning Objectives.mp4 (28.7 MB) 84 - 16.1 PyTest.mp4 (372.9 MB) 85 - 16.2 Visual Studio Code.mp4 (364.6 MB) 86 - 16.3 Vim.mp4 (136.8 MB) 87 - 16.4 Ludwig (Open Source AutoML).mp4 (146.5 MB) 88 - 16.5 Sklearn Algorithm Cheatsheet.mp4 (104.1 MB) 89 - 16.6 Recommendations.mp4 (47.7 MB) [CourseClub.Me].url (0.0 KB) [DesireCourse.Net].url (0.0 KB) files
Added:	2019-06-28 11:05:08
Language:	English
Peers:	Seeders : 4 , Leechers : 5
Tags:	O’REILLY Python Data Science Complete Video Course Video Training
Release name:	[O’REILLY] Python for Data Science Complete Video Course Video Training [CC]
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