6986 Open source projects that are alternatives of or similar to Fastbook

The 3rd edition of course.fast.ai

The fastai deep learning library

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Lending Club Loan data analysis

🐍 Learn Python and Pandas from the ground up

Achieve your marketing goals with the data analytics power of Python

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

SF Brigade's Data Science Working Group.

Yet another black-box optimization library for Python

Explore and analyse your Home Assistant data

Python library for identifying the peaks and valleys of a time series.

Data science and Big Data with Python

Jupyter notebook and datasets from the pandas Q&A video series

A Python library for easy data analysis, visualization, exploration and modeling

Create publication-quality books from Jupyter notebooks

repo for code published on pythondata.com

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

A repo for data science related questions and answers

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Developer Cheatsheets

The "Python Machine Learning (1st edition)" book code repository and info resource

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

DLTK Model Zoo

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Datasets, tools, and benchmarks for representation learning of code.

Artificial Learning, Intelligent Machines

General Assembly's 2015 Data Science course in Washington, DC

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Griffon Data Science Virtual Machine

Machine learning contest - October 2016 TLE

Best Practices on Recommendation Systems

Data augmentation for NLP

IPython widgets, interactive plots, interactive machine learning

Machine learning fundamentals lesson in interactive notebooks

A blog for data analytics using data science technologies

Tutorial Sessions for SciPy Con 2019

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Home assignments for data science positions

🌎 machine learning tutorials (mainly in Python3)

A Portfolio of my Data Science Projects

A New, Interactive Approach to Learning Python

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks