Library/handson-ml2
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ageron/handson-ml2

handson-ml2

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

Jan 8, 2019

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README Summary

A comprehensive collection of Jupyter notebooks that provide hands-on tutorials for machine learning and deep learning concepts using popular Python libraries. The repository serves as a practical companion to learning ML fundamentals through interactive code examples and exercises. It covers both traditional machine learning with Scikit-Learn and modern deep learning with Keras and TensorFlow 2.

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Supervised LearningUnsupervised LearningDeep LearningNeural NetworksConvolutional Neural NetworksRecurrent Neural NetworksFeature EngineeringModel TrainingModel EvaluationHyperparameter TuningData PreprocessingClassificationRegressionClusteringDimensionality Reduction

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Supervised LearningUnsupervised LearningDeep LearningNeural NetworksConvolutional Neural NetworksRecurrent Neural NetworksFeature EngineeringModel TrainingModel EvaluationHyperparameter TuningData PreprocessingClassificationRegressionClusteringDimensionality ReductionPython Programming for Data ScienceDeep Neural NetworksAcademic Course MaterialClassification AlgorithmsTransfer LearningImageDemocratized Machine LearningRegression AnalysisModel Evaluation and ValidationClustering TechniquesOpen Source ML EducationGradient Descent OptimizationTextPractical ML Implementation ExamplesEducationSelf-paced LearningTabularEducational AI ResourcesTraining and DevelopmentEnsemble MethodsDeep Learning TutorialsJupyter EnvironmentEducational PlatformsLocal DevelopmentBackpropagationMachine Learning EducationJupyter Notebook

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Updated 1 months ago

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production
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high
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production

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Evals & BenchmarkingPrimaryML Platform & InfrastructureData Science & AnalyticsOther AI / MLLearning ResourcesModel Training

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Data & EvaluationCost & Efficiency

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Jupyter Notebook100.0%

Timeline

Project created
Jan 8, 2019
Forked
Mar 16, 2026
Your last push
1 months ago
Upstream last push
26 days ago
Tracked since
Feb 23, 2026

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