This repository contains data science and machine learning projects focused on solving real-world problems through data analysis, statistical modeling, and predictive techniques.
This project explores a subset of LendingClub loan data to predict whether borrowers will default on their loans. It includes data preprocessing, exploratory data analysis (EDA), feature engineering, and classification modeling.
- Goal: Predict loan repayment status using borrower and loan attributes
- Dataset: LendingClub dataset from Kaggle
https://www.kaggle.com/wordsforthewise/lending-club - Project details: Lending Club Loan Project
A regression-based project to estimate housing prices in King County, Washington. The analysis uses deep learning models with Keras, following extensive data cleaning and feature selection.
- Goal: Predict housing prices from house attributes
- Dataset: House Sales in King County from Kaggle
https://www.kaggle.com/harlfoxem/housesalesprediction - Project details: King County House's prices
- Python
- Jupyter Notebook
- Pandas, NumPy
- Scikit-learn
- Matplotlib, Seaborn
- Keras
Adam Jordani Misa
Graduate Chemical Engineer | TU/e - Eindhoven University of Technology
Email: aj.misa@outlook.com
Portfolio: http://ajmisa.github.io
LinkedIn: https://www.linkedin.com/in/adam-misa