Financial Inclusion predictor and regression analysis

Inspiration

I aimed to create a tool that not only predicts financial inclusion but also provides insights through regression analysis, I always wanted to do something in Finance so using this less time I did this project.

What it does

The Financial Inclusion Predictor and Regression Analysis tool leverage machine learning, specifically Random Forest models, to predict financial inclusion based on historical data. It also includes a regression analysis of the 'MRV' (an unspecified financial metric) to uncover trends and relationships within the dataset.

How we built it

I utilized Python and popular data science libraries such as pandas, scikit-learn, seaborn, and streamlit. The project is structured around a Streamlit web app that allows users to input data for predictions and explore regression analysis visually.

Challenges we ran into

Handling missing data, selecting appropriate features, and tuning machine learning models were significant challenges. Ensuring a seamless integration of the predictive model and the regression analysis in a user-friendly interface posed additional complexities.

Accomplishments that we're proud of

I successfully built a tool that combines classification for financial inclusion prediction and regression for deeper data insights. The integration into a Streamlit app enhances accessibility for users without a background in data science.

What we learned

This project enhanced my understanding of the practical aspects of deploying machine learning models and conducting regression analysis in a real-world scenario.

What's next for Financial Inclusion predictor and regression analysis

In the future, I plan to enhance the predictive model, possibly exploring more advanced algorithms. I also aim to refine the regression analysis and provide more dynamic visualizations for users to gain deeper insights into the factors influencing financial inclusion. Additionally, user feedback will be crucial in refining and expanding the tool's functionalities.

Built With

• numpy
• pandas
• python
• regression
• streamlit