This project aims to implement machine learning algorithm toin Bank statements concerning time and amount of transactions.TOOLS USED: Numpy, pandas, Seaborn, Matplotlib, Sciket-learn, Jupyter.ALGORITHM USED: KNN Classifier, Random Forest Classifier, Gradient Boost Classifier.Default Risk AnalysisThis project aims to identify patterns which indicate if a client has difficult in paying their instalments which may be used for taking actions such as denying the loan, reducing the amount of the loan or predict if a client will default or not.TOOLS USED -Pandas, Numpy, Matplotlib, Seaborn.CODE EDITOR???Jupyter, google colab, pycharmPlaying cricket, carrom board, foot ball