KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
Code for ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Welcome to the "T20 Match Score Predictor" project! This machine learning model, built using the XGBoost regressor, predicts the final score of a T20 cricket match. Get ready to make data-driven score predictions!
Working on a simple linear regression model for predicting students' exam scores. Using a dataset with features like study time, family size, and parental backgrounds. This work is for personal training and educational purposes.
IPL First Innings prediction using python.
In this project I have created an men's t20 internationals cricket score predictor considering various factors like batting team, bowling team, current score etc. and got an 99% r2 score on training and 98% r2 score on testing.
The T20 Totalitarian project aims to leverage machine learning to predict the total score of a team in a T20 World Cup cricket match. By utilizing the powerful XGBoost algorithm, we aim to provide accurate predictions that can help in strategizing and understanding match dynamics better.
Using Machine Learning Models to predict IPL (20 over cricket) scores
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