Machine Learning Projects

AI/Machine Learning Projects

Gordon Ramsay AI Tutor
Simple AI chatbot. I used OpenAI's GPT-4 model to create an AI tutor with the likeness of Gordon Ramsey. Done in Python using prompt-engineering and the OpenAI API.

House Price Predictor
Developed 3 machine learning models to accurately predict house prices based on various features, utilizing Random Forest and XGBoost.
Evaluatued on Root-Mean-Squared-Error between the logarithm of the predicted value and the logarithm of the observed sales price.

Titanic Survival Predictor
Developed 5 predictive models to determine the survival likelihood of Titanic passengers using Python. Leveraged techniques such as feature engineering, data preprocessing, and model optimization to improve accuracy.
Utilized models like Random Forest and Logistic Regression, with a focus on feature importance and model interpretability. Evaluated the model's performance using cross-validation and created visualizations to present the results.

Bank Customer Churn Predictor
Developed multiple machine learning models to predict which bank customers are at risk of churning. Conducted thorough exploratory data analysis and applied feature engineering techniques to enhance prediction accuracy.
Utilized classifiers like Random Forest and XGBoost, with a focus on optimizing model performance and analyzing feature importance to derive actionable insights for customer retention. Evaluated the models through cross-validation and confusion matrices.