Jupyter Notebooks
Showing 19 of 55 projects
An open-source threat hunting platform with advanced analytics capabilities built on ELK stack, Apache Spark, and Jupyter notebooks.
A collection of Jupyter notebooks accompanying a 10-part video series teaching machine learning with Python's scikit-learn library.
A collection of handwritten notes, notebooks, and resources for Andrew Ng's Deep Learning Specialization on Coursera.
A comprehensive lecture series teaching scientific computing with Python through interactive IPython notebooks.
A Python library that simplifies chart creation for data scientists with consistent data formats and smart defaults.
A Python library that simplifies chart creation for data scientists with consistent data formats and smart defaults.
The fastest way to build data pipelines with iterative development and deployment anywhere.
An easy-to-use blogging platform with enhanced support for Jupyter Notebooks, Word docs, and Markdown, powered by GitHub Actions.
A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.
Interactive HTML widgets for Jupyter notebooks, enabling dynamic data exploration and visualization.
A catalog of production-ready Jupyter Notebook templates organized by tools and following the IMO (Input, Model, Output) framework.
A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.
Docker image providing the Python environment used by Kaggle Notebooks for data science competitions.
A collection of Jupyter notebooks demonstrating how to use the Qiskit SDK for quantum computing.
A Python tutorial and cookbook for implementing Bayesian modeling techniques using PyMC3.
Automatically visualize any dataset with a single line of code, including data quality assessment and fixes.
A collection of interactive machine learning experiments with Jupyter notebooks for training and browser demos for visualization.
Python code and examples for Bayesian statistics from the book 'Think Bayes: Bayesian Statistics Made Simple'.
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