• Jupyter Notebook
• Apache Zeppelin notes
  • See example in the examples/apache-zeppelin folder
• JuPyteR notebooks
  • See example in the examples/JuPyteR folder
  • Data notebooks
• nbdime: Jupyter Notebook Diff and Merge tools - command-line tools | nbdiffex - Jupyter notebook checkpoint differ extension
• Handy python notebook having Important #ml models code in one place

See Notebooks from NVIDIA's RAPIDS

• Deep Learning with Tensorflow 2.0 (MNIST)
  • Slides
  • Notebook 1
  • Notebook 2
  • Notebook 3
  • Github for Jupiter Notebooks

• Python Data Science Handbook on Azure git repo
• Python for Data Analysis on Azure git repo
• Python Data Science Handbook
• House prices
  • ML End-to-End Tutorial + Pandas notebook
  • Regression example notebook
  • Classification example notebook
  • Some explanations of the above Regression & Classification examples: as a Notebook | as a PDF file
• 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 line tools
• Synthetic features and outliers notebook
• Do we know our data...
  • Exploratory Data Analysis
  • Data Preparation
    • Data Processing
  • Feature Engineering
  • Feature Importances
    • Catboost model and W&B
    • LightGBM model and W&B

• NLP related notebooks
• Better NLP Notebooks:
  • Jupyter
    • Spacy/Texacy Examples
    • Summarisers Examples
  • Google Colab
    • Spacy/Texacy Examples
    • Summarisers Examples
• Bag of words notebook
• TFIDF notebook

## Neural Networks

• Neural Networks Matrices exploration - Under the Hood Mathematical Operations

• Reinforcement learning notebooks: 1 | 2 | 3

• Time-series / anomaly detection notebooks

• Quick Intro to ProGAN

• ML Notebooks: hands-on
• A gallery of interesting IPython Notebooks
• Dive into Machine Learning with Jupyter notebook, Python, and scikit-learn
• "The Big Bad NLP Notebooks – Quantum Stat"

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the CONTRIBUTING guidelines, also have a read about our licensing policy.

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