Farhan Tanwar

I've built 10+ machine learning projects, including email spam classification, loan approval prediction, drug prediction, flight price prediction, customer response prediction, and house price prediction.

I use Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn to preprocess data, engineer features, train models, and evaluate results. My projects apply Logistic Regression, Decision Trees, Random Forest, XGBoost, KNN, and linear regression to real-world prediction problems.

I'm an aspiring Data Scientist with a Bachelor of Science background and completed Data Science and Machine Learning coursework through Technoglobe – AI.

I'm passionate about solving real-world problems through data and continuously improving my technical skills.