When you want production/MLOps-focused learning rather than fundamentals.
Learn how to develop, deploy and iterate on production-grade ML applications.
- 49.2k
- Jupyter Notebook
- MIT
machine learning education / notebooks
Jupyter notebooks teaching machine learning and deep learning fundamentals with Scikit-Learn, Keras, and TensorFlow, accompanying the O'Reilly book.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
When you want production/MLOps-focused learning rather than fundamentals.
Learn how to develop, deploy and iterate on production-grade ML applications.
When you prefer the fastai top-down teaching style.
The fastai book, published as Jupyter Notebooks
When you want a free, structured ML engineering bootcamp.
Learn ML engineering for free in 4 months! Register here ๐๐ผ
When you want a traditional open ML course with lectures and homework.
Open Machine Learning Course
When you need a broader maths/CS/ML theory resource.
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
When you want the current fastai course instead of handson-ml.
The fast.ai course notebooks
When you want a broader data-science intro with ML chapters.
Python Data Science Handbook: full text in Jupyter Notebooks
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
When you want a narrow scikit-learn-only beginner tutorial.
Jupyter notebooks from the scikit-learn video series
When you want a deep-learning-focused companion (Keras).
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
When you want a DL-only course in the Coursera style.
Notebooks for learning deep learning
When you want an older Keras-only tutorial.
Jupyter notebooks for using & learning Keras
When you want a similar book-companion but it is not updated recently.
The "Python Machine Learning (3rd edition)" book code repository
When you want a broad set of ML notebooks despite being unmaintained.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
When you want the previous-generation fastai course.
The 3rd edition of course.fast.ai
When you want the older 2nd edition of the rasbt book.
The "Python Machine Learning (2nd edition)" book code repository and info resource
When you want a DL-only companion for another O'Reilly book.
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
When you want the 1st edition of the rasbt book.
The "Python Machine Learning (1st edition)" book code repository and info resource
When you want a hand-curated set of ML notebooks, though unmaintained.
:fire: Machine Learning Notebooks
These projects were analysed and named handson-ml3 among their alternatives. The relationship is not symmetric โ how handson-ml3 rates them is a separate judgement, made when handson-ml3 is analysed in its own right.
calls handson-ml3 โChoose for an actively maintained, applied ML/DL book with Scikit-Learn/Keras/TensorFlow.โ
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
calls handson-ml3 โchoose it for a broader, actively maintained ML/DL book with TF2/Keras notebooks.โ
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
calls handson-ml3 โPick for a current, widely used ML book companion covering Scikit-Learn/Keras/TensorFlow with continued updates.โ
Notebooks and code for the book "Introduction to Machine Learning with Python"
calls handson-ml3 โWhen you want the actively maintained code for Geron's book with scikit-learn and TensorFlow 2.โ
The "Python Machine Learning (2nd edition)" book code repository and info resource
calls handson-ml3 โchoose for deeper, hands-on ML/DL with TensorFlow/Keras; seed has broader data-science basicsโ
Python Data Science Handbook: full text in Jupyter Notebooks
calls handson-ml3 โwhen you prefer a code-first book with Scikit-Learn/Keras/TensorFlow examples over a lecture-assignment course.โ
Open Machine Learning Course
calls handson-ml3 โUse it for code-first scikit-learn/Keras/TensorFlow ML/DL notebooks instead of the seed's broader math/CS survey.โ
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
calls handson-ml3 โWhen you want the same kind of broad Hands-on ML notebook course but with TensorFlow/Keras instead of PyTorch.โ
AIๅฎๆ-practicalAI ไธญๆ็
calls handson-ml3 โChapter-by-chapter ML/DL notebooks with Scikit-Learn/Keras; choose for a deeper ML/DL book when big data isn't needed.โ
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
calls handson-ml3 โChoose it for an up-to-date, notebook-driven ML/DL modeling course with scikit-learn/Keras/TensorFlow, but no MLOps/deployment coverage.โ
Learn ML engineering for free in 4 months! Register here ๐๐ผ