A two-part project focused on feature engineering on csv data
Here I upload all task which I have done with stepwise implementation.
End-to-End House Price Prediction using Machine Learning and Streamlit
Machine Learning project that predicts loan approval using Logistic Regression, Random Forest, and Support Vector Machine with data preprocessing, EDA, feature engineering, and model evaluation.
BTK Akademi Datathon 2026 | Career Success Score prediction using ML & NLP. XGBoost, LightGBM, CatBoost ensemble with Turkish NLP feature engineering.
Estimating real-world fuel consumption of vehicles using the multiple machine learning methods
Netflix user behavior analytics project using preprocessing, statistical analysis, visualization, and feature engineering.
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