Credit_Risk_Analysis Worked on a project titled ‘Credit Risk Analysis’ to predict the loan disbursement on the basis of given data set. Has done missing data calculation and applied different machine learning classification algorithms. Found that Logistic Regression has highest f-1 score of 81% among all classification module such as SVM, KNN etc. Learned various modules such as NumPy, Pandas, Matplotlib, Seaborn and applied different machine learning algorithms on different data sets.