Implementation pipeline: • I am going to work on this project in python. • I am going to work with Sci-kit Learn framework. • I am going to assess and clean the dataset. • I am going to make some visualizations to get insights. • I am going to fit the dataset to the following models: o Logistic/Linear Regression. o Decision Tree. o Support Vector Machines(SVM). o Random Forest. o AdaBoost. o GradientBoosting. o Multi-Layer Perceptron(MLP). • I am going to test the accuracy of the model and fine-tune it to increase the accuracy. • I am going to make a clear documentation of the code at the end.