Mkopa Amount Paid Prediction

• This is a machine learning regression model which is trained through supervised learning to predict the amount paid of the custimer loan over a period of 360 days.
• The data used is Data Assessment.csv.

Models used And Evaluation Metrics

• Used four models(Linear Regression,KNeighboursRegressor,Random Forest,Decision Trees) and found the random forest regressor having the best results.
• Used R2 score to evaluate the performance of the model.

Prerequisites

Ensure the following are installed:

• Anaconda and Python3
• Libraries:Pandas,Numpy,Matplotlib,Seaborn,pandas_profiling
• Use conda or pip commands to install the libraries

Running the model

• Clone the repository
• Open Anaconda Navigator
• Open the notebook using Jupiter Notebook or convert the repository to your preffered formart(.py etc)
• Run the model to view the results.