This project evaluates player and team performance, identifying the best players for upcoming matches by analyzing their past and recent game performance.

In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.

A system to record and predict office occupancy on a day to day basis

Dynamic Modeling and Machine Learning Environment

UI of stocknear - Stock Analysis & Community Platform for Small Investors ❤️

A unified framework for tabular probabilistic regression and probability distributions in python

This repository helps you understand python from the scratch.

A Python package of Taiyishenshu, one of the three greatest Ancient Chinese Divination Tools ever. Python 太乙神數，占天文異象、占國運人事、占戰爭兵陣。本套件包含太乙年計、月計、日計、時計、分計、命法。

An app that keeps track of how many predictions you've gotten correctly.

A high-level machine learning and deep learning library for the PHP language.

Drought detection and prediction using the Standardized Precipitation Evapotranspiration Index (SPEI) in the region Germany.

The Solubility Predictor project aims to predict the solubility (logS) of chemical compounds using advanced machine learning techniques. By leveraging a well-structured tech stack, the project ensures robust data handling, model training, and evaluation to deliver accurate solubility predictions.

Bloxflip auto tools is the best free bloxflip bot that automatically plays a variety of bloxflip game modes (Mines, Towers, Plinko, Crash) with built in un-rigger and ANN!

This repository includes code and a pre-trained model of scHiGex for single-cell gene expression prediction.

This research investigates flight delay trends, examining departure time, airline, and airport factors. Regression machine learning meth- ods are utilized to predict delay contributions from various sources. Time-series models, including LSTM, Hybrid LSTM, and Bi-LSTM, are compared with baseline regression models such as Multiple Regression, Decisi

Learning analytics methods and tutorials - A practical guide using R

Prediction of Premier League results using Machine Learning

Statsmodels: statistical modeling and econometrics in Python

Predicting Credit Card Defaults This repository provides a step-by-step tutorial on predicting credit card defaults using machine learning algorithms in Python with scikit-learn. Learn to implement SVM, Random Forest, Decision Trees, k-Nearest Neighbors, and Artificial Neural Networks to forecast default payments for credit card clients.

Predicting Forex direction - Capstone Project 2024 Advanced Data Analytics @ HEC Lausanne