Introduction

mltrain is a Machine Learning Library created by Abdul Faatih Siddiqui, designed to simplify and streamline the process of implementing machine learning models. Currently under active development, mltrain is inspired by the popular scikit-learn library and aims to provide an intuitive and easy-to-use interface for various machine learning algorithms.

The package includes implementations for both supervised and unsupervised learning models, making it a versatile tool for data scientists and developers looking to build models for classification, regression, clustering, and more. As the package evolves, it will offer a growing collection of models, utilities, and features to assist in end-to-end machine learning workflows.

Whether you're just getting started with machine learning or are a seasoned expert, mltrain is being crafted to offer a reliable, flexible, and powerful environment for model development and experimentation.

You can install it using:-

You can visit our mltrain GitHub Repo: mltrain-github-repo

Stay tuned as mltrain continues to grow and add more features, enhancing its capabilities to serve the needs of the machine learning community.