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1. COURSE PLAN
S.No. Topic(s) No. of
Lecture
Hours
UNIT I:Introduction to Python
1. Python Installation with various IDE’s 2
2. Python data Types 2
3. Control Structure, Functions. 2
4. Data Analysis & visualization –using numpy, panda mat plotlib, scipy
etc.
3
UNIT-II :Introduction to Machine Learning
5. Applications of Machine Learning 2
6. Supervised vs Unsupervised Learning 2
7. Python libraries suitable for Machine Learning 2
UNIT-III: Regression
8. Linear Regression, Multiple Linear Regression 2
9. Polynomial Regression 2
10. Support Vector Regression 2
11. Decision Tree Regression, Random Forest Regression 2
UNIT-IV: Classification
12. K-Nearest Neighbour, Decision Trees 3
13. Logistic Regression 2
14. Support Vector Machines 2
UNIT V: Supervised & Unsupervised Learning
15. K-Means Clustering 2
16. Hierarchical Clustering 2
17. Density-Based Clustering 2
TOTAL CLASSES 36Hrs