Repository for the Data Science and Analytics course materials at Tecnológico de Monterrey. Includes playbooks and analyses for practical data science applications, from fundamentals to predictive models.

Knowledge Is Power is a data analysis and prediction tool leveraging U.S. Census data to provide insights into societal topics. Utilizing machine learning, specifically MATLAB's classification learner, the project predicts educational attainment based on income and offers interactive visualizations of veterans' data.

A Julia machine learning framework

A curated list of projects based on applications of Machine learning and Actuarial Science.

This project develops a machine learning model to predict the salaries of baseball players based on their past performance.

Conventional techniques such as LQR and TPBVP are implemented and results are compared with the advance control method 'MPC (Model Predictive Control)' on the Continuous Stirred Tank with two state variables and two manipulatives variables.

Welcome to the Loan Approval Prediction project repository! This project focuses on predicting the approval of loan applications using various machine learning algorithms. By analysing applicant details and financial information, the model aims to assist financial institutions in making data-driven and reliable loan approval decisions.

Predictor for stock and ETF prices

Classifying Criminal Offenses: Classification Application in Python Using scikit-learn

This repository contains predictive ml model

moDel Agnostic Language for Exploration and eXplanation

Surrogate Modeling Toolbox

Solar radiation Prediction Cameroon

This project assignment aims to build and compare different predictive models in the case of customers' default payments in Taiwan.

The Revolving Credit Behavior Modeling project analyzes revolving credit to facilitate flexible access to funds within a credit limit, assisting financial institutions in setting accurate pricing strategies by addressing risk factors like inflation and interest rates.

Explore factors impacting Walmart sales and demand. This repository includes data analysis, visualization, and predictive modeling with Python and SQL.

Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning

Analytics & Machine Learning R Sidekick

The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.