NOTE : I made new repository and uploaded my few assignments as previously my assignments were associated with the university and were in the private mode

Libraries Used

1. NumPy
2. Pandas
3. Scikit-learn
4. Seaborn
5. matplotlib
6. SciPy
7. Plotly

Algorithms performed on my data sets

1. Linear Regression
2. Logistic Regression
3. Classification
4. Regularization
5. Ridge Regression
6. K-Fold Cross Validation
7. Random Forest
8. Grid Search
9. Hyperparameter Tuning

Techniques Learned/Implemented

1. Multi-collinearity
2. VIF factor
3. Tolerance factor
4. Step-wise Regression
5. AUC, R-squared, Adjusted R-squared,AIC , BIC , p-value , z score
6. ROC curve
7. SVM algorithm
8. KNN algorithm
9. Various kinds of 3d- Projections
10. Tuning of parameters and finding the best hyper parameters