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1. Loan-Prediction Loan-Prediction Public

   Applied the Supervised ML Algorithms and compare their respective accuracy. The ML Algorithm applied in the project are Logistic Regression, SVM, Decision Tree and K-Nearest Neighbors.

   Jupyter Notebook

2. Students-Performance Students-Performance Public

   Applied Unsupervised ML Algorithms to given data set. Algorithms applied are K-Means clustering, Hierarchical clustering and DBSCAN clustering.

   Jupyter Notebook

3. MultipleLinearRegressionProject MultipleLinearRegressionProject Public

   Applied Multiple Linear Regression on an Advertisement dataset. Also, Interaction Effect(Synergy) is considered and model is trained accordingly. RMSE: 0.587 , R^2_Score: 0.981

   Jupyter Notebook 4

4. COVID-19-Analysis COVID-19-Analysis Public

   Data Analysis and Data Visualization of COVID-19 dataset

   Jupyter Notebook

5. ProgateWebPages ProgateWebPages Public

   HTML