Udemy - Learning Python for Data Analysis and Visualization [FreeAllCourse]

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[FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization 1. Intro to Course and Python
  • 1. Course Intro.mp4 (13.3 MB)
  • 1. Course Intro.srt (5.8 KB)
  • 2. Course FAQs.html (6.9 KB)
10. Machine Learning
  • 1. Introduction to Machine Learning with SciKit Learn.mp4 (46.2 MB)
  • 1. Introduction to Machine Learning with SciKit Learn.srt (19.7 KB)
  • 10. Multi Class Classification Part 1 - Logistic Regression.mp4 (67.9 MB)
  • 10. Multi Class Classification Part 1 - Logistic Regression.srt (23.9 KB)
  • 11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 (73.5 MB)
  • 11. Multi Class Classification Part 2 - k Nearest Neighbor.srt (29.1 KB)
  • 12. Support Vector Machines Part 1.mp4 (64.9 MB)
  • 12. Support Vector Machines Part 1.srt (19.1 KB)
  • 13. Support Vector Machines - Part 2.mp4 (85.8 MB)
  • 13. Support Vector Machines - Part 2.srt (35.4 KB)
  • 14. Naive Bayes Part 1.mp4 (35.7 MB)
  • 14. Naive Bayes Part 1.srt (13.8 KB)
  • 15. Naive Bayes Part 2.mp4 (65.5 MB)
  • 15. Naive Bayes Part 2.srt (16.8 KB)
  • 16. Decision Trees and Random Forests.mp4 (152.9 MB)
  • 16. Decision Trees and Random Forests.srt (42.8 KB)
  • 17. Natural Language Processing Part 1.mp4 (62.8 MB)
  • 17. Natural Language Processing Part 1.srt (10.9 KB)
  • 18. Natural Language Processing Part 2.mp4 (59.7 MB)
  • 18. Natural Language Processing Part 2.srt (21.6 KB)
  • 19. Natural Language Processing Part 3.mp4 (148.9 MB)
  • 19. Natural Language Processing Part 3.srt (28.6 KB)
  • 2. Linear Regression Part 1.mp4 (58.7 MB)
  • 2. Linear Regression Part 1.srt (25.6 KB)
  • 20. Natural Language Processing Part 4.mp4 (112.8 MB)
  • 20. Natural Language Processing Part 4.srt (21.0 KB)
  • 3. Linear Regression Part 2.mp4 (52.5 MB)
  • 3. Linear Regression Part 2.srt (25.6 KB)
  • 4. Linear Regression Part 3.mp4 (68.9 MB)
  • 4. Linear Regression Part 3.srt (25.6 KB)
  • 5. Linear Regression Part 4.mp4 (78.6 MB)
  • 5. Linear Regression Part 4.srt (32.5 KB)
  • 6. Logistic Regression Part 1.mp4 (71.8 MB)
  • 6. Logistic Regression Part 1.srt (20.2 KB)
  • 7. Logistic Regression Part 2.mp4 (51.8 MB)
  • 7. Logistic Regression Part 2.srt (19.3 KB)
  • 8. Logistic Regression Part 3.mp4 (39.7 MB)
  • 8. Logistic Regression Part 3.srt (14.9 KB)
  • 9. Logistic Regression Part 4.mp4 (97.9 MB)
  • 9. Logistic Regression Part 4.srt (27.6 KB)
11. Appendix Statistics Overview
  • 1. Intro to Appendix B.mp4 (7.2 MB)
  • 1. Intro to Appendix B.srt (4.6 KB)
  • 1.1 Viewer Link For Stats Notes.txt (0.1 KB)
  • 10. Chi Square Test and Distribution.mp4 (15.7 MB)
  • 10. Chi Square Test and Distribution.srt (4.3 KB)
  • 11. Bayes Theorem.mp4 (36.8 MB)
  • 11. Bayes Theorem.srt (14.3 KB)
  • 2. Discrete Uniform Distribution.mp4 (21.8 MB)
  • 2. Discrete Uniform Distribution.srt (10.1 KB)
  • 3. Continuous Uniform Distribution.mp4 (25.2 MB)
  • 3. Continuous Uniform Distribution.srt (10.7 KB)
  • 4. Binomial Distribution.mp4 (41.7 MB)
  • 4. Binomial Distribution.srt (19.4 KB)
  • 5. Poisson Distribution.mp4 (40.2 MB)
  • 5. Poisson Distribution.srt (17.1 KB)
  • 6. Normal Distribution.mp4 (19.4 MB)
  • 6. Normal Distribution.srt (9.5 KB)
  • 7. Sampling Techniques.mp4 (22.0 MB)
  • 7. Sampling Techniques.srt (7.7 KB)
  • 8. T-Distribution.mp4 (16.4 MB)
  • 8. T-Distribution.srt (7.8 KB)
  • 9. Hypothesis Testing and Confidence Intervals.mp4 (78.9 MB)
  • 9. Hypothesis Testing and Confidence Intervals.srt (28.3 KB)
12. Appendix SQL and Python
  • 1. Introduction to SQL with Python.mp4 (43.8 MB)
  • 1. Introduction to SQL with Python.srt (16.4 KB)
  • 2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4 (32.3 MB)
  • 2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt (15.1 KB)
  • 3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 (28.1 MB)
  • 3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt (12.9 KB)
13. Appendix Web Scraping with Python
  • 1. Web Scraping Part 1.mp4 (37.3 MB)
  • 1. Web Scraping Part 1.srt (17.8 KB)
  • 2. Web Scraping Part 2.mp4 (43.8 MB)
  • 2. Web Scraping Part 2.srt (16.1 KB)
14. Appendix Python Special Offers
  • 1. Python Overview Part 1.mp4 (34.5 MB)
  • 1. Python Overview Part 1.srt (24.8 KB)
  • 2. Python Overview Part 2.mp4 (21.9 MB)
  • 2. Python Overview Part 2.srt (16.2 KB)
  • 3. Python Overview Part 3.mp4 (19.9 MB)
  • 3. Python Overview Part 3.srt (14.2 KB)
15. BONUS SECTION THANK YOU!
  • 1. Bonus Lecture.html (0.5 KB)
2. Setup
  • 1. Installation Setup and Overview.mp4 (24.4 MB)
  • 1. Installation Setup and Overview.srt (10.3 KB)
  • 1.1 Link for FAQ.html (0.1 KB)
  • 1.2 Link to Code Notebooks for Course!.html (0.1 KB)
  • 2. IDEs and Course Resources.mp4 (30.3 MB)
  • 2. IDEs and Course Resources.srt (16.2 KB)
  • 2.1 Link to Code Notebooks for Course!.html (0.1 KB)
  • 3. iPythonJupyter Notebook Overview.mp4 (69.0 MB)
  • 3. iPythonJupyter Notebook Overview.srt (22.7 KB)
  • 3.1 Link to Code Notebooks for Course!.html (0.1 KB)
  • 3.2 Lecture 4 Info.txt (0.2 KB)
3. Learning Numpy
  • 1. Intro to numpy.html (0.9 KB)
  • 2. Creating arrays.mp4 (13.1 MB)
  • 2. Creating arrays.srt (9.6 KB)
  • 3. Using arrays and scalars.mp4 (7.9 MB)
  • 3. Using arrays and scalars.srt (6.5 KB)
  • 4. Indexing Arrays.mp4 (26.2 MB)
  • 4. Indexing Arrays.srt (18.8 KB)
  • 5. Array Transposition.mp4 (7.5 MB)
  • 5. Array Transposition.srt (5.0 KB)
  • 6. Universal Array Function.mp4 (14.9 MB)
  • 6. Universal Array Function.

Description

Learning Python for Data Analysis and Visualization



Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!

For More Paid Udemy Courses: FreeAllCourse.Com

What you'll learn?

#Have an intermediate skill level of Python programming.
#Use the Jupyter Notebook Environment.
#Use the numpy library to create and manipulate arrays.
#Use the pandas module with Python to create and structure data.
#Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
#Create data visualizations using matplotlib and the seaborn modules with python.
#Have a portfolio of various data analysis projects.


Description

Created by Jose Portilla
Last updated 9/2019
English




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3.9 GB
seeders:14
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Udemy - Learning Python for Data Analysis and Visualization [FreeAllCourse]

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Download torrent
3.9 GB
seeders:14
leechers:16
Udemy - Learning Python for Data Analysis and Visualization [FreeAllCourse]

Torrent hash: B4C263049672D9A936F68C6365AA10C6463CCD50