This portfolio showcases a variety of AI and machine learning projects developed as part of the Breakthrough Tech AI program in 2024-2025. Each project demonstrates different aspects of AI, including data preprocessing, model training, and evaluation. Below is a brief overview of each file included in this repository.
- Description: A pre-trained classification model for predicting whether an Airbnb host is a superhost by analyzing data of numerous of Airbnb listings, stored in a Pickle file format.
- Contents: Training, testing, and evaluating a Logistic Regression Model, performing Logistic Regression Model Selection Using GridSearchSV()
- Description: A Jupyter Notebook that outlines the process of predicting the logarithm of GDP per capita using various machine learning techniques.
- Contents: Data preprocessing, feature engineering, training, testing, and evaluating a linear model, improving a linear model using the SGD model, bagging, stacking, and cross-validation.
- Description: A CSV file containing data from the World Happiness Report, used for training and evaluating the Predicting Log GDP Per Capita model.