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