A machine leaning based loaan classifier using many classification techniques such as:

• K Nearest Neighbor(KNN)
• Decision Tree
• Support Vector Machine
• Logistic Regression

the notebook uses all the previous techniques trying to find the best parameters for each one of them then, compares between them according to various metrics such as:

• jaccard similarity score
• f1 score
• log loss

this project serves as the final project in the " machine learning with python" course by IBM

course's link: https://www.coursera.org/learn/machine-learning-with-python/home/welcome