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Ahandson-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.
Popularity
Repository stars14,42664,549Highest
7-day net stars——
Fork5,38611,287Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-062026-10-26
Maintenance notesNot verifiedNot verified
Repository created2022-02-192015-09-15
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeLearning & resourcesLearning & resources
TypeApps & systemsApps & systems
SubcategoryReading & learningReading & learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookRust
About this projectA 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.:crab: Small exercises to get you used to reading and writing Rust code!
Measured at2026-11-03 08:25 UTC2026-11-03 08:24 UTC
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