Topic: binary-classifiers Goto Github
Some thing interesting about binary-classifiers
Some thing interesting about binary-classifiers
binary-classifiers,This streamlit app predicts the churn rate using Gradient Boosting models (XGBoost, Catboost, LightGBM) on IBM Customer Churn Dataset
User: ahmedshahriar
Home Page: https://share.streamlit.io/ahmedshahriar/Telco-Customer-Churn-Prediction-Streamlit-App/main/app.py
binary-classifiers,This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
User: ahmedwageh97
binary-classifiers,Localizing the the digits in images from the Google SVHN (Street View House Numbers) dataset
User: ankitdhall
binary-classifiers,Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
Organization: ing-bank
Home Page: https://ing-bank.github.io/probatus
binary-classifiers,This project creates a binary classifier that is capable of predicting whether applicants will be successful if funded by the Alphabet Soup Charity Program
User: jacodetunde
binary-classifiers,Supervised Binary Classifier For IoT Data Stream
User: manikhossain08
binary-classifiers,Binary classifier on tabular data 🍇 #Datamecum
User: pilarcode
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