Machine Learning Lab List of Experiments
- 1. Write a python program to compute Central Tendency Measures: Mean, Median, Mode Measure of Dispersion: Variance, Standard Deviation
- 2. Study of Python Basic Libraries such as Statistics, Math, Numpy and Scipy
- 3. Study of Python Libraries for ML application such as Pandas and Matplotlib
- 4. Write a Python program to implement Simple Linear Regression
- 5. Implementation of Multiple Linear Regression for House Price Prediction using sklearn
- 6. Implementation of Decision tree using sklearn and its parameter tuning
- 7. Implementation of KNN using sklearn
- 8. Implementation of Logistic Regression using sklearn
- 9. Implementation of K-Means Clustering
- 10. Performance analysis of Classification Algorithms on a specific dataset (Mini Project)