GitHub topics: one-hot-encoder

Repositories

Trangy-star/IPL-Win-Predictor

A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.

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LatiefDataVisionary/feature-engineering-college-task

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JaviDoria/Upskilling-Machine-Learning

- Fundamentos de Estadística matemática. - Conceptos clave de Machine Learning. - Desarrollo de modelos y Algoritmos. -Proceso EDA y preprocesamiento de datos. -Tratamiento de Outliers y NaN. -Estandarización y Codificación de características para un modelo. - Entrenamiento de Modelo de ML. -Desarrollo de una APP a partir de un modelo.

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Tynab/Machine-Learning-Overview

CyberSoft Machine Learning 03 - Overview

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shaadclt/IPL-Win-Probability-Predictor

The IPL Win Probability Predictor is a web application built using Streamlit. It uses a machine learning model to predict the probability of a team winning an IPL match based on various factors such as batting team, bowling team, host city, target, score, overs completed, and wickets.

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0