Data Science

Course Outline

1. Introduction to Python
2. Data Pre-Processing Techniques
3. Introduction to basic Python syntax and structure
4. K-Mean Clustering (Solved Example)
5. Implementation of K Mean in Python
6. KNN Clustering (Solved Example)
7. Implementation of KNN in Python
8. Decision Tree (Solved Example)
9. Implementation of Decision Tree in Python
10. Time Series Analysis implementation in Python
11. Regression (Solved with example)
12. Regression implementation in Python
13. Logistic Regression Implementation in Python