Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
Localizing the the digits in images from the Google SVHN (Street View House Numbers) dataset
Supervised Binary Classifier For IoT Data Stream
This streamlit app predicts the churn rate using Gradient Boosting models (XGBoost, Catboost, LightGBM) on IBM Customer Churn Dataset
This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
An R package to create and visualise fast-and-frugal decision trees (FFTs)
Binary classifier on tabular data 🍇 #Datamecum_Datathon
This project creates a binary classifier that is capable of predicting whether applicants will be successful if funded by the Alphabet Soup Charity Program
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