[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI

  1. Introduction of Course

   1. Course Introduction in Animation.mp4

   2. Why to join this course.srt

   3. Introduction of Python and Python Libraries.srt

   4. Meet Trainer for this Course.srt

   5. Data Science Introduction.srt

  12. Data Science

   1. Tips to Start Project in Data Science.mp4

   2. Case Study of Suicides in India 2001-2012.mp4

   2.1 Material.zip

   3. Case Study on Google Review using various different plot using Matplotlib.srt

   4. Case Study of Titanic Dataset.mp4

   4.1 Material.zip

   5. Case Study with Linear Regression.srt

   6. Case Study with Logistic Regression.mp4

   6.1 Material.zip

   7. Case Study with Support Vector Machines (SVM).srt

   8. Case Study with Support Vector Machines (SVM).mp4

   8.1 Material.zip

   9. Case Study with K Mean Algorithm.srt

   10. Case Study with KNN Algorithm.mp4

   10.1 Material.zip

   11. NLP Tutorial.srt

   12. Case Study with Scikit Learn Library.srt

   13. Case Study with Scikit Learn Library.mp4

   13.1 Material.zip

  2. Python Basic Concepts

   1. Brief Introduction of Python.srt

   2. Set Up Environment Google Colab.srt

   3. Data Type and Variable, Keywords.srt

   4. How to take input.mp4

   5. Print Statement and How to produce output.mp4

   6. Introduction to List, Tuple, Dictionary, Set.mp4

   7. String Operations.mp4

   8. Operators in details.mp4

   9. List Operations in details.mp4

   10. Tuple Operations in details.mp4

   11. Set Operations in details.mp4

   12. Dictionary Operations in details.mp4

   13. Data Type Conversion.mp4

   14. Importance of Indentation.mp4

   15. Random Number, Range Function.mp4

   16. Sequential, Selection & Repetition -for, while, break, continue, if-elif else.mp4

   17. Math Library.mp4

   18. Datetime and Calendar Module.mp4

   19. Create, Edit, Write, Read Text File.mp4

   20. Exception Handling in Python.mp4

  3. Python Advance Concept

   1. Collection Module.srt

   2. Python Regular Expression (RegEx).mp4

   3. List Comprehension, Frozensets and Assertion.mp4

   4. Python CSV file Operations.srt

   5. User Define Functions and inbuilt Function.srt

   6. Iterator.srt

   7. Generator and decorators.srt

   8. Global and local Variables in Functions.srt

   9. Python Logging Module.srt

   10. Lambda, Map, Filter and Reduce Function.srt

   11. Python Queue.srt

   12. isinstance, Use of format, Timeit(), round(), Slice and abs().srt

   13. Zip Function.srt

   14. eval(),exec(),repr() function.srt

   15. Switch Case.srt

   16. Ternary Operator.srt

   17. Object Oriented Programming (OOP).srt

  4. Python Crash Course

   1. Python Crash Course.srt

  5. Numpy Library

   1. Numpy Library Tutorial 1.srt

   2. Numpy Library Tutorial 2.mp4

   3. Numpy Library Tutorial 3.mp4

   4. Numpy Library Tutorial 4.mp4

   5. Numpy Library Tutorial 5.mp4

   6. Numpy Library Tutorial 6.mp4

   7. Numpy Library Tutorial 7.mp4

   8. Numpy Official Site Visit.mp4

  6. Pandas Library

   1. Pandas Tutorial 1.srt

   2. Pandas Tutorial 2.mp4

   3. Pandas Tutorial 3.mp4

   4. Pandas Tutorial 4.mp4

   5. Pandas Tutorial 5.mp4

   6. Pandas Tutorial 6.mp4

   7. Pandas Tutorial 7.mp4

   8. Pandas Tutorial 8.mp4

   9. Pandas Tutorial 9.mp4

  7. Scipy Library

   1. Scipy Tutorial.srt

   2. Scipy Official Site.mp4

  8. Matplotlib Library

   1. Matplotlib Library Tutorial 1.srt

   2. Matplotlib Library Tutorial 2.mp4

   3. Matplotlib Library Tutorial 3.mp4

   3.1 .ipynb files.zip

   4. Matplotlib Library Tutorial 4.srt

   5. Matplotlib Library Tutorial 5.srt

  9. Seaborn Library

   1. Seaborn Library Tutorial 1.srt

   2. Seaborn Library Tutorial 2.mp4

   3. Seaborn Library Tutorial 3.mp4

  10. Plotly Library

   1. Plotly Library Tutorial.srt

  11. Machine Learning

   1. Training, Testing and Model Evaluation in Machine Learning.srt

   2. Supervised Learning.srt

   3. Unsupervised Learning.srt

   4. Reinforcement Learning.srt

  13. Artificial Intelligence

   1. Artificial Intelligence Introduction.srt

   2. AI powered Unmanned Ground Vehicle UGV.srt

   3. UGV Flow Chart.srt

   4. AI Design Part 1 Unmanned Ground Vehicle Path Finding.mp4

   5. AI Design Part 2 Bellman Equation.mp4

   6. AI Design Part 3 Markov Decision Tree.mp4

   7. AI Design Part 4 Q Learning.mp4

   8. AI for Part 5 Code for Displaying Path.mp4

   9. AI for Part 6 Explanation of Code.mp4

   9.1 Code of UGV using AI.zip

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