Course: Machine Learning (A) Deadline: 28-01-2021 Problem Statement: Download a classification-based dataset of your own choice from Kaggle or Machine Learning Repository. Please make sure that the dataset contains at least 4 features. Perform different types of experiments on that data and share your findings summarized in a 2-pages report. The reward will be decided from the quality of work and learning. The students are supposed to perform at least following experiments; however, one may perform more detailed analysis too. 1. Use logistic regression with linear and non-linear decision boundaries. 2. Try different values of learning rate and learn the relationship of learning rate with convergence and convergence speed. 3. Compare the results of different models with different combinations of learning rates and recommend the best model with most suitable learning rate to classify the dataset