Supervised Learning using Python

This project uses the most popular classification techniques to predict the outcomes after an extensive EDA and work missing values, and imbalance in data.

This project has two parts:

• Part 1 - Predicting the condition of the patient depending on the received test results on biomechanics features of the patients according to their current conditions.
• Part 2 - Build an AIML model to perform focused marketing by predicting the potential customers who will convert using the historical database.

Skills and Tools

Logistic Regression, Naive Bayes, KNN, Classification, Python