In this Assignment we had used housing dataset, iris dataset, engage dataset (unnamed dataset).<\br>
In case of housing dataset, we had implemented Linear Regression (Closed Form, Gradient Descent and Newton's method), Ridge Regression (L2 Regularization) from scratch and had used scikit-learn library for Lasso Regression (L1 Regularization) and Accuracy Score measurement. The jupyter-notebook file, python code and other files related to housing dataset can be found under the directory Assignment_1/housing_data_set
In case of iris dataset, we had implemented Nearest Neighbours, Naive Bayes Classifier (Gaussian distribution), Logistic Regression (Gradient Descent and Newton's method) from scratch and had used scikit-learn library for Logistic Regression (for comparison between Implemented and inbuilt) and Accuracy Score measurement. The jupyter-notebook file, python code and other files related to iris dataset can be found under the directory Assignment_1/iris_data_set
In case of engage dataset (unnamed dataset), we had used the same models used in case of iris dataset and had used Precision, F-measure, Recall, AUC apart from Accuracy Score measurement using scikit-learn library. The jupyter-notebook file, python code and other files related to iris dataset can be found under the directory Assignment_1/engage_data_set
Ritvik Goparaju (https://github.com/RitvikGoparaju)
SugguSaiSankeerth (https://github.com/SugguSaiSankeerth)
Seelapureddy Venkata Rama Aditya Reddy (https://github.com/SvrAdityaReddy)