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Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
this repository accompanies the book "Grokking Deep Learning"
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Technical Analysis Library using Pandas and Numpy
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Lectures on scientific computing with python, as IPython notebooks.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A collection of IPython notebooks covering various topics.
The hands-on NLTK tutorial for NLP in Python
Contains my explorations of TensorFlow 2.x
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
A collection of Jupyter Notebooks for learning Python for Data Science.
Companion repository to Paul Azunre's "Transfer Learning for Natural Language Processing" book
Basic notebook introducing pandas functionality