Coursework from DePaul MS in Predictive Analytics
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Updated
Dec 5, 2016 - HTML
Coursework from DePaul MS in Predictive Analytics
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.
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.
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
Code from Ralph Winters book Packt/Practical-Predictive-Analytics
Course repo for EDLD 654 (Machine Learning for Educational Data Science) at UO COE - Fall 23
Projeto da Semana de Data Science do Blog Minerando Dados | Predição de preços de imóveis com Random Forest
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 🇺🇸
This is the GitHub repository for the technical product documentation for Syncfusion Predictive Analytics components
Predictive Analytics for Business Nanodegree Program March 2021
Ralph Winters Website
My capstone project for Ryerson's Data Analytics, Big Data, and Predictive Analytics. The project I worked on was based on an open competition project called DengAI: Predicting Disease Spread. The objective of the project was to predict the total number of cases in the testing set of Iquitos, Peru & San Juan, Puerto Rico.
A data analysis product that predicts the estimated rent of a house inside Indian metropolis using Long Short Term Neural Network. A website that builds strong with Django web frameworks that predicts house rent according to desire of the user and displays it.
Side project to create a bot that automatically trades on crypto markets
This repository contains analysis and prediction of Loan dataset from my previous workplace and kaggle
Visualize correlations between health factors.
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