The book every data scientist needs on their desk.

ML/CNN Evaluation Metrics Package

Evaluating the effect of data balance on different classification metrics

Collection of some classical Machine learning Algorithms.

This repository provides essential tools and metrics for evaluating binary classification models, aiding researchers and data scientists in their model assessment

Imbalanced classification with scikit-learn and PyTorch Lightning.

Classification-Techniques-For-Fraud-Detection

evaluation metrics implementation in Python from scratch

This project is used to predict the customer churn based on various features using an artificial neural network

When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.