This project aims to predict the monthly sales of the Honda Accord in the United States using linear regression, economic indicators, and Google search query volumes. The data spans from January 2014 to November 2023, allowing for a comprehensive analysis of sales trends over nearly a decade.

This project involves analyzing data from the Framingham Heart Study to predict the risk of Coronary Heart Disease (CHD) within the next 10 years using logistic regression. The project includes training a logistic regression model on a training dataset and evaluating its performance on a test dataset. Key metrics such as accuracy, True Positive Rate (TPR), and False Positive Rate (FPR) are calculated to assess the model's effectiveness. Additionally, the project includes a cost-benefit analysis to determine an optimal threshold for prescribing preventive medication based on the predicted CHD risk.

This project focuses on predicting the star ratings of restaurants in Las Vegas, Nevada, using various regression and classification models. The goal is to help businesses understand which factors are most important in attaining high star ratings and gaining popularity on Yelp.

This project aims to predict Tesla's stock prices by leveraging sentiment analysis from social media, specifically focusing on tweets mentioning Tesla and Elon Musk. By analyzing the sentiment of these tweets, alongside traditional financial indicators, we aim to create a robust predictive model for Tesla's stock prices.

The project explores the application of predictive genetic algorithms to model complex phenomena and optimize engineering systems. The study focuses on two main data sets: heat flux in nucleate boiling processes and the design and optimization of a heat pipe heat exchanger (HPHE) for electronic component cooling.

This project involves a comprehensive analysis and comparison between a First Principle Neural Network and a Keras-based Neural Network, particularly focusing on their application in predicting the performance of a Hybrid Fossil-Fuel Gas Turbine.