Why this course?

Description

A course in Python language typically covers the fundamentals of programming using Python, including variables, data types, control structures, functions, and object-oriented programming. The course may also cover topics such as file I/O, exception handling, and regular expressions.

In addition, a course on Python may cover more advanced topics such as machine learning scientific computing with libraries like NumPy, SciPy, and Pandas, and machine learning with libraries like Scikit-learn.

The course may also include hands-on exercises, assignments, and projects to give students practical experience with Python programming. By the end of the course, students should have a solid understanding of Python programming and be able to build simple to complex applications using Python.

Course Agenda

1. Introduction to python programming
2. Variables and data types
3. Python operators and input function
4. Logical operator and maths function
5. Additional statement
6. For loop statement
7. While loop statement
8. List and Tuple
9. Strings method
10. Dictionary in python
11. Functions in python
12. Oops – classes and object, constructor, inheritance
13. Modules and package
14. Files in python
15. Error and exception
16. Libraries PyPi and Pip pandas part 1
17. Pandas 2
18. Numpy 1
19. Numpy 2
20. Matplotlib
21. Automation in python
22. Machine learning in python
23. Fake news detection in machine learning
24. Credit card fraud detection Using random forest
25. Rainfall prediction in Machine learning
26. Customer segmentation Using k- means clustering algorithms
27. Heart diseases prediction using machine learning
28. Liver diseases prediction using machine learning
29. Stock market prediction using Machine learning
30. Hate speech detection using Machine learning

For Related courses

After completing the course, automatically e-certificate will be generated for the participants.