Coursera
This folder holds the exercises, assignments, notes and projects for my courses taken on coursera.org.
1. IBM Data Science
Machine Learning with Python
(1) Peer-graded Assignment: The best classifier
In this project, you will complete a notebook where you will build a classifier to predict whether a loan case will be paid off or not.
You load a historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data. You are expected to use the following algorithms to build your models:
- k-Nearest Neighbour
- Decision Tree
- Support Vector Machine
- Logistic Regression
The results is reported as the accuracy of each classifier, using the following metrics when these are applicable:
- Jaccard index
- F1-score
- LogLoass
My Submission
Below please find my submission: