Library/handson-ml3
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ageron/handson-ml3

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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ageron

ageron

ageron • individual

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Created

Feb 19, 2022

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README Summary

This repository contains a comprehensive series of Jupyter notebooks that teach machine learning and deep learning fundamentals using Python. The notebooks provide hands-on tutorials covering both traditional ML with Scikit-Learn and deep learning with Keras and TensorFlow 2. It serves as a practical companion for learning ML concepts through interactive code examples and exercises.

AI Dev Skills

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Machine Learning FundamentalsDeep Learning ArchitectureSupervised LearningUnsupervised LearningNeural Network ImplementationFeature EngineeringModel Training and EvaluationTensorFlow DevelopmentKeras API UsageScikit-Learn Implementation

Tags

Machine Learning FundamentalsDeep Learning ArchitectureSupervised LearningUnsupervised LearningNeural Network ImplementationFeature EngineeringModel Training and EvaluationTensorFlow DevelopmentKeras API UsageScikit-Learn ImplementationPractical AI ImplementationProfessional TrainingDemocratized AI EducationJupyter EnvironmentProgramming Tutorial DeliveryHands-on AI TrainingTabularTechnical Skill DevelopmentImageMachine Learning EducationCode-based LearningTextLocal DevelopmentEducationEducational PlatformsJupyter Notebook

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Updated 1 months ago

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production
Quality
high
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production

Categories

Model TrainingPrimaryEvals & BenchmarkingML Platform & InfrastructureData Science & AnalyticsOther AI / MLLearning Resources

PM Skills

Data & EvaluationCost & Efficiency

Languages

Jupyter Notebook100.0%

Timeline

Project created
Feb 19, 2022
Forked
Mar 16, 2026
Your last push
1 months ago
Upstream last push
1 months ago
Tracked since
Feb 22, 2026

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