An elegant virtual crossmatch tool based on machine learning
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Updated
Jul 1, 2020 - HTML
An elegant virtual crossmatch tool based on machine learning
Predictive model that divides the customers into groups based on common characteristics so companies can market to each group effectively and appropriately
This repo is maintained for a web app that lets you predict 'value' of an IPL player based on some player statistics.
App made with pycaret and streamlit
Repositório de introdução às ferramentas de um cientista de dados
This is a machine learning project for predicting the real estate prices in Kaohsiung, Taiwan.
Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)
In this repository I will be adding all the automated libraries with respect to data science.
Predicting the Advertisement Revenue for a auction website along with setting the range of bidding values for next auctions.
AutoML Package for faster developing
Customer Churn Prediction using PyCaret.
This Project is able to detect the Fraudulent Transactions using Unsupervised Learning .
Prophet, Xgboost, RandomForest, LSTM, Wavenet
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