COURSE CONTAINS

1. Fundamentals of Python programming
2. File Operations using Python
3. Working with data types of Python
4. Error and Exception management in Python
5. Working with functions in Python
6. Probability Distributions in Python
7. Python for Data Visualization
8. Python in Data Manipulation
9. Machine Learning concepts
10. Machine Learning types
11. Linear Regression Implementation
12. Supervised Learning concepts
13. Implementing different types of Supervised Learning algorithms
14. Evaluating model output
15. Implementing Dimensionality Reduction Technique
16. Supervised Learning concepts
17. Implementing different types of Supervised Learning algorithms
18. Evaluating model output
19. Unsupervised Learning
20. Implementation of Clustering – various types
21. Data Mining using python
22. Recommender Systems using python
23. Implement Reinforcement Learning using python
24. Developing Q Learning model in python
25. TSA in Python
26. Model Selection
27. Boosting algorithm using python