Academic Course Assignments
These assignments are a part of Machine Learning Lab ( CS306 )
Contents :
- Numpy and Pandas
- Program for dataset description
- Program for dataset description + plot of the dataset
- Linear Regression [ Batch Gradient Descent ]
- Linear Regression [ Stochastic Gradient Descent + Hyperparameter Tuning + Overfitting checking ]
- Logistic Regression ( Multiclass ) [ Hyperparameter Tuning + Overfitting checking ]
- Logistic Regression ( Multiclass ) [ Hyperparameter Tuning + Overfitting checking + k-fold]
- Perceptron Learning Algorithm ( PLA )
- Single Layer Perceptron ( SLP )
- Multi Layer Perceptron ( MLP )
- K-Medoid and K-Means
- Fuzzy C-Means Algorithm ( FCM )
- K-Nearest Neighbour ( KNN ) and Naive Bayes Classification