Popular GitHub Repositories for Predictive Analytics

Small POC to predict game outcomes of the 2024 European Championship using GPT-4o and sportmonks football API.

Forecasting, anomaly detection, predictive analytics, econometrics and much more

Predictive Incident Management analyses large data sets to identify risk patterns, predict outcomes, and guide teams on effective decision-making.

Analytics using Microsoft Power BI to forecast sales of healthcare products using ARIMA forecast model.

Artificial neural networks model on matlab to predict wind speed. Data on wind speed, humidity, temperature and wind direction was obtained from Bagalkot wind farm, Karnataka, India, in the year 2014.

Weather Prediction Model to forecast the temperature trends for Seattle,WA using a real time data set from: https://www.ncdc.noaa.gov/cdo-web/

Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign

Compute predictions of the best chess moves in real time. ?

Prediction of call count for Call center workforce planning for 311 dataset

Machine Learning Algorithm for Fuel Price Prediction using bi-directional RNN-LSTM

Python project using time series analyze to predict value of cosmos

Machine Learning to Classify Songs as a Hit or a Flop according to the Billboard Hot 100

Open Domestic Threat Scanner - LLM Threat-Intelligence

ML model predicting League of Legends match outcomes with 87.9% accuracy pre-game. Outperforms 50% ELO baseline utilizing historic match data and machine learning.

A Comprehensive Time Series Analysis for Dynamic Sales Forecasting

Project to predict retention of students in a study program up-to and beyond semester 6 based on scores, socio-economic & demography factors (like debt, gender, religion and race), transferred credits, family fee contributions, academic background, phone and email habits.

This Project analyses the carbon footprint of the U.S. commercial sector using three machine learning models. A combination of energy consumption data and carbon dioxide emission data was used to achieve the carbon footprint variable.

This submission was part of IDCamp scholarship in "Machine Learning" learning path.

Sample data ingestion pipeline for time series data prediction