scikit-learn Getting Started

Category

Classical machine learning

Provider

scikit-learn

Type

course

Level

Foundation

Topic

AI / ML / Deep Learning

Track

AI / ML / Deep Learning

Section

Learning path

Format

Documentation / tutorial

Status

publishable

Commercial

link-only

Featured

no

Fast start

no

Sequence

nan

Priority

A

Primary source

mega_open_hub

Sources

mega_open_hub

ID

3309f927286aa342

scikit-learn documentation

scikit-learn

Still the fastest way to build strong baselines and classical ML systems.

scikit-learn User Guide

scikit-learn

Reference-quality guide for algorithms, model selection, pipelines, clustering, and deployment concerns.

PyTorch: Learn the Basics

PyTorch

Best starting point for custom training, experiments, and research code.

Hugging Face Learn

Hugging Face

Covers transformers, LLMs, agents, CV, audio, RL, and more with modern tooling.

Hugging Face LLM Course

Hugging Face

Hands-on route into NLP and large language models using the Hugging Face ecosystem.

PyTorch Tutorials

PyTorch

Official tutorials spanning beginner fundamentals through deployment and advanced workflows.

Hugging Face Agents Course

Hugging Face

Beginner-to-expert course on understanding, using, and building AI agents.

Google ML Crash Course - LLM Module

Google

Focused module on large language model concepts, training, context, self-attention, and fine-tuning basics.

Stanford CS229: Machine Learning

Stanford

Solid mathematical and algorithmic treatment of core ML.

Google Machine Learning Crash Course

Google

High-signal introduction to supervised learning, feature engineering, evaluation, and modern ML workflow.

fast.ai Practical Deep Learning for Coders

fast.ai

Best practical route from beginner coder to shipping models quickly.

Stanford CS231n

Stanford

Still one of the best deep learning for vision courses.