Machine Learning

1. Practical 1 : Predict Price of House using Linear Regression.

2. Practical 2 : Predict Insurance amount using linear regression.

3. Practical 3 : Using linear regression multicolumn /multi-arable predict premium

4. Practical 4 : Using linear regression multicolumn check the sales on the basis of an advertisement.

5. Practical 5 : Lasso and Ridge for Melbourne house price prediction

6. Practical 6 : Using Logistic Regression check, whether the person is going buy insurance or not

7. Practical 7 : Logistic Regression, whether Employee can get Bonus or not.

8. Practical 8 : KK-nearest, Predict Patient is having benign or malignant cancer.

9. Practical 9 : KN algorithm for clustering

10. Practical 10 : Decision Tree for classification, whether a player can play tennis or not in particular weather