Udemy - Python Beyond Basics for Machine Learning, Data Science, AI

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Python Beyond Basics for Machine Learning, Data Science, AI [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI 1. Introduction of Course
  • 1. Course Introduction in Animation.srt (0.0 KB)
  • 1. Course Introduction in Animation.mp4 (25.6 MB)
  • 2. Why to join this course.mp4 (21.6 MB)
  • 2. Why to join this course.srt (1.6 KB)
  • 3. Introduction of Python and Python Libraries.mp4 (62.7 MB)
  • 3. Introduction of Python and Python Libraries.srt (9.9 KB)
  • 4. Meet Trainer for this Course.mp4 (12.6 MB)
  • 4. Meet Trainer for this Course.srt (1.3 KB)
  • 5. Data Science Introduction.mp4 (89.6 MB)
  • 5. Data Science Introduction.srt (12.2 KB)
12. Data Science
  • 12. Case Study with Scikit Learn Library.mp4 (411.8 MB)
  • 1. Tips to Start Project in Data Science.mp4 (67.0 MB)
  • 1. Tips to Start Project in Data Science.srt (8.1 KB)
  • 2. Case Study of Suicides in India 2001-2012.mp4 (86.9 MB)
  • 2. Case Study of Suicides in India 2001-2012.srt (10.3 KB)
  • 2.1 Material.zip (1.2 MB)
  • 3. Case Study on Google Review using various different plot using Matplotlib.mp4 (58.0 MB)
  • 3. Case Study on Google Review using various different plot using Matplotlib.srt (6.7 KB)
  • 3.1 Material.zip (1.2 MB)
  • 4. Case Study of Titanic Dataset.mp4 (75.2 MB)
  • 4. Case Study of Titanic Dataset.srt (9.5 KB)
  • 4.1 Material.zip (27.5 KB)
  • 5. Case Study with Linear Regression.mp4 (51.0 MB)
  • 5. Case Study with Linear Regression.srt (7.9 KB)
  • 5.1 Material.zip (27.2 KB)
  • 6. Case Study with Logistic Regression.mp4 (88.2 MB)
  • 6. Case Study with Logistic Regression.srt (14.4 KB)
  • 6.1 Material.zip (23.7 KB)
  • 7. Case Study with Support Vector Machines (SVM).mp4 (71.4 MB)
  • 7. Case Study with Support Vector Machines (SVM).srt (14.9 KB)
  • 7.1 Material.zip (1.4 KB)
  • 8. Case Study with Support Vector Machines (SVM).mp4 (60.1 MB)
  • 8. Case Study with Support Vector Machines (SVM).srt (6.7 KB)
  • 8.1 Material.zip (3.9 MB)
  • 9. Case Study with K Mean Algorithm.mp4 (49.9 MB)
  • 9. Case Study with K Mean Algorithm.srt (8.1 KB)
  • 9.1 Material.zip (1.0 MB)
  • 10. Case Study with KNN Algorithm.mp4 (86.9 MB)
  • 10. Case Study with KNN Algorithm.srt (12.0 KB)
  • 10.1 Material.zip (436.3 KB)
  • 11. NLP Tutorial.mp4 (36.9 MB)
  • 11. NLP Tutorial.srt (5.9 KB)
  • 11.1 Material.zip (1.2 KB)
  • 12. Case Study with Scikit Learn Library.srt (60.6 KB)
  • 12.1 Material.zip (13.4 KB)
  • 13. Case Study with Scikit Learn Library.mp4 (278.0 MB)
  • 13. Case Study with Scikit Learn Library.srt (42.8 KB)
  • 13.1 Material.zip (25.7 KB)
2. Python Basic Concepts
  • 1. Brief Introduction of Python.mp4 (34.1 MB)
  • 1. Brief Introduction of Python.srt (1.9 KB)
  • 2. Set Up Environment Google Colab.mp4 (40.6 MB)
  • 2. Set Up Environment Google Colab.srt (8.4 KB)
  • 3. Data Type and Variable, Keywords.mp4 (64.6 MB)
  • 3. Data Type and Variable, Keywords.srt (12.1 KB)
  • 3.1 .ipynb files for Practice of Basic Python.zip (158.2 KB)
  • 4. How to take input.mp4 (19.6 MB)
  • 4. How to take input.srt (3.9 KB)
  • 5. Print Statement and How to produce output.mp4 (28.8 MB)
  • 5. Print Statement and How to produce output.srt (4.2 KB)
  • 6. Introduction to List, Tuple, Dictionary, Set.mp4 (18.5 MB)
  • 6. Introduction to List, Tuple, Dictionary, Set.srt (3.9 KB)
  • 7. String Operations.mp4 (53.3 MB)
  • 7. String Operations.srt (9.5 KB)
  • 8. Operators in details.mp4 (51.2 MB)
  • 8. Operators in details.srt (9.5 KB)
  • 9. List Operations in details.mp4 (63.2 MB)
  • 9. List Operations in details.srt (10.5 KB)
  • 10. Tuple Operations in details.mp4 (42.9 MB)
  • 10. Tuple Operations in details.srt (6.7 KB)
  • 11. Set Operations in details.mp4 (26.1 MB)
  • 11. Set Operations in details.srt (4.4 KB)
  • 12. Dictionary Operations in details.mp4 (28.5 MB)
  • 12. Dictionary Operations in details.srt (4.5 KB)
  • 13. Data Type Conversion.mp4 (68.3 MB)
  • 13. Data Type Conversion.srt (11.5 KB)
  • 14. Importance of Indentation.mp4 (38.0 MB)
  • 14. Importance of Indentation.srt (6.5 KB)
  • 15. Random Number, Range Function.mp4 (53.0 MB)
  • 15. Random Number, Range Function.srt (8.3 KB)
  • 16. Sequential, Selection & Repetition -for, while, break, continue, if-elif else.mp4 (52.4 MB)
  • 16. Sequential, Selection & Repetition -for, while, break, continue, if-elif else.srt (13.6 KB)
  • 17. Math Library.mp4 (25.9 MB)
  • 17. Math Library.srt (5.0 KB)
  • 18. Datetime and Calendar Module.mp4 (44.0 MB)
  • 18. Datetime and Calendar Module.srt (6.4 KB)
  • 19. Create, Edit, Write, Read Text File.mp4 (22.2 MB)
  • 19. Create, Edit, Write, Read Text File.srt (4.5 KB)
  • 20. Exception Handling in Python.mp4 (47.4 MB)
  • 20. Exception Handling in Python.srt (10.0 KB)
3. Python Advance Concept
  • 1. Collection Module.mp4 (91.7 MB)
  • 1. Collection Module.srt (11.6 KB)
  • 1.1 .ipynb files for Practice of Advance Python.zip (248.9 KB)
  • 2. Python Regular Expression (RegEx).mp4 (30.3 MB)
  • 2. Python Regular Expression (RegEx).srt (5.6 KB)
  • 3. List Comprehension, Frozensets and Assertion.mp4 (67.1 MB)
  • 4. Python CSV file Operations.mp4 (61.4 MB)
  • 4. Python CSV file Operations.srt (7.8 KB)
  • 5. User Define Functions and inbuilt Function.mp4 (41.3 MB)
  • 5. User Define Functions and inbuilt Function.srt (8.1 KB)
  • 6. Iterator.mp4 (26.9 MB)
  • 6. Iterator.srt (6.3 KB)
  • 7. Generator and decorators.mp4 (62.6 MB)
  • 7. Generator and decorators.srt (11.2 KB)
  • 8. Global and local Variables in Functions.mp4 (19.4 MB)
  • 8. Global and local Variables in Functions.srt (3.6 KB)
  • 9. Python Logging Module.mp4 (19.1 MB)
  • 9. Python

Description


Description

Learn the Most demanding language of industry with concept applied to Data Science, Machine Learning and AI

Important topics are covered such as Python Basic Concepts, Advance Concept, Python Crash Course, Python Libraries such as numpy, pandas, matplotlib, seaborn, Data Science Concept with Case Studies , Machine Learning and it’s types, Artificial Intelligence with Case Studies
Who this course is for:

Learner who wants to work as python developers
People interested to learn how to program in python
Learner who wants to start career as Python Developer, Data Science and AI

Requirements

It start with Basics
Only Basic Mathematics Concept
This course is intended for absolute beginners in programming

Last Updated 11/2020



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Udemy - Python Beyond Basics for Machine Learning, Data Science, AI

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Download torrent
5.8 GB
seeders:43
leechers:30
Udemy - Python Beyond Basics for Machine Learning, Data Science, AI

Torrent hash: CC7B704FE61A8731FEC2D8B696A68CEDF8A1B263