Machine-Learning-Python-Libraries-Implementation

Files Included

MachineLearning_Python_Libraries.py The main Python script containing the code for loading data, preprocessing, training, and evaluating machine learning models.

Customer Churn.csv A dataset used to train and test the models. It includes features related to customer behavior and a churn indicator.

Assignment_Report_RaheeqMousa.pdf A detailed report explaining the methodology, tools used, and analysis of results.

Libraries Used

• pandas

• numpy

• scikit-learn

• matplotlib

• seaborn

ML Models Implemented

• Linear Regression

• Logistic Regression

• Decision Trees

• KNN