Coursework from DePaul MS in Predictive Analytics

Data Analysis and Predictive Analysis of Algorithms on the Titanic Dataset

The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. We use real-time dataset to calculate the stock predictions for future years.

Code from Ralph Winters book Packt/Practical-Predictive-Analytics

Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteris…

Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models

Predictive Analytics for Business Nanodegree Program March 2021

This is an web based application developed in raw PHP for market analysis and prediction. It also used web crawling for comparing the price of various products with other websites products.

Course repo for EDLD 654 (Machine Learning for Educational Data Science) at UO COE - Fall 23

Course repo for EDLD 654 (Machine Learning for Educational Data Science) at UO COE - Fall 22

Projeto da Semana de Data Science do Blog Minerando Dados | Predição de preços de imóveis com Random Forest

A python script that sends the day's weather forecast to a Telegram bot and a Flask application that displays historical weather data with the Frappe Charts library. The purpose of the project is to historicize and analyze the meteorological data of a certain area, to understand how the weather will change.

Having fun making a football machine learning app that will predict defensive play calls. See the app link for details on how this was done.

Local Connecticut Election & Voter Data Analytics Projects 🇺🇸

The African Savannah Elephants - A predictive analytics study

This is the GitHub repository for the technical product documentation for Syncfusion Predictive Analytics components

prediction analytics of startup success

Ralph Winters Website

This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.