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

Revolutionize your health with DoruqHealthSystem: AI-driven insights at your fingertips for smarter, proactive wellness management.

Visualize correlations between health factors.

The African Savannah Elephants - A predictive analytics study

Notes and laboratories from a graduate course in Business Analytics.

This project is to assess and evaluate the social performance of Cognizant by leveraging PCA algorithm. We will analyze various social parameters, including diversity and inclusion, employee well-being, retention, stakeholder engagement, and social contributions, to identify distinctive characteristics within the dataset.

The goal of these examples is to analyse the given datasets to determine whether some models can be established for purposes of prediction, to assess how stepwise prediction behaves with respect to a personally chosen model and determine an unknown trend in the cereal dataset.

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

This repository contains analysis and prediction of Loan dataset from my previous workplace and kaggle

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 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.

illini esports discord community growth and engagement analysis

Repozytorium projektowe

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

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.

Machine learning model developed in R to predict which water pumps across Tanzania are not working properly

Analyze delivery patterns and predict time.

Poor inventory management leads to a loss in sales which in turn paints an inaccurate picture of lower demand for certain items, making future order predictions based on that past data inherently inaccurate. Instead, smart retailers use real-time data to move inventory where it’s needed before it’s too late. Additionally, they use predictive ana…

Ralph Winters Website