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This repository contains a gentle introduction to machine learning algorithms with hands on practical examples

About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Mac... Read more

About Introduction to Machine Learning for the Arts, IMA, Tisch School of the Arts, New York University, Fall 2022

A beginner-friendly introduction to Machine Learning using Python. This repository covers foundational concepts, hands-on projects, and practical implementations to help you start your journey into machine learning with easy-to-follow code and explanations.

Sparse Matrix Factorization (SMF) is a key component in many machine learning problems and there exist a verity a applications in real-world problems such as recommendation systems, estimating missing values, gene expression modeling, intelligent tutoring systems (ITSs), etc. There are differe... Read more

# Cervical_cancer_detection_using_ML # Introduction According to World Health Organisation (WHO), when detected at an early stage, cervical cancer is one of the most curable cancers. Hence, the main motive behind this project is to detect the cancer in its early stages so that it can be treated a... Read more

A Gentle introduction to Machine Learning with Apache Spark

QC101 Quantum Computing and Introduction to Quantum Machine Learning, by Packy Publishing

Files used for an Introduction to Machine Learning course

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a mo... Read more