Alternatives and similar repositories for data-science-ipython-notebooks:

Users that are interested in data-science-ipython-notebooks are comparing it to the libraries listed below

• academic / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆25,993Updated 3 weeks ago
• rushter / data-science-blogs
  A curated list of data science blogs
  ☆6,348Updated 9 months ago
• josephmisiti / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆67,426Updated last month
• ujjwalkarn / Machine-Learning-Tutorials
  machine learning and deep learning tutorials, articles and other resources
  ☆16,035Updated 9 months ago
• dive-into-machine-learning / dive-into-machine-learning
  Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
  ☆11,289Updated 2 years ago
• ZuzooVn / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆28,406Updated 9 months ago
• rasbt / python-machine-learning-book
  The "Python Machine Learning (1st edition)" book code repository and info resource
  ☆12,368Updated 4 months ago
• ujjwalkarn / DataSciencePython
  common data analysis and machine learning tasks using python
  ☆5,397Updated 11 months ago
• eriklindernoren / ML-From-Scratch
  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …
  ☆24,389Updated last year
• kailashahirwar / cheatsheets-ai
  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…
  ☆15,184Updated 5 years ago
• rushter / MLAlgorithms
  Minimal and clean examples of machine learning algorithms implementations
  ☆10,815Updated 2 years ago
• ageron / handson-ml
  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
  ☆25,329Updated last year
• jtoy / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆17,250Updated 3 weeks ago
• rhiever / Data-Analysis-and-Machine-Learning-Projects
  Repository of teaching materials, code, and data for my data analysis and machine learning projects.
  ☆6,259Updated last year
• jakevdp / PythonDataScienceHandbook
  Python Data Science Handbook: full text in Jupyter Notebooks
  ☆44,197Updated 9 months ago
• ChristosChristofidis / awesome-deep-learning
  A curated list of awesome Deep Learning tutorials, projects and communities.
  ☆25,025Updated 11 months ago
• terryum / awesome-deep-learning-papers
  The most cited deep learning papers
  ☆25,788Updated last year
• donnemartin / interactive-coding-challenges
  120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
  ☆30,086Updated 10 months ago
• oxford-cs-deepnlp-2017 / lectures
  Oxford Deep NLP 2017 course
  ☆15,703Updated last year
• keras-team / keras
  Deep Learning for humans
  ☆62,819Updated this week
• scikit-learn / scikit-learn
  scikit-learn: machine learning in Python
  ☆61,614Updated this week
• trekhleb / homemade-machine-learning
  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
  ☆23,383Updated 4 months ago
• jvns / pandas-cookbook
  Recipes for using Python's pandas library
  ☆6,763Updated 5 months ago
• keon / algorithms
  Minimal examples of data structures and algorithms in Python
  ☆24,431Updated 8 months ago
• chiphuyen / stanford-tensorflow-tutorials
  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  ☆10,338Updated 4 years ago
• kmario23 / deep-learning-drizzle
  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…
  ☆12,527Updated 5 months ago
• dmlc / xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆26,772Updated this week
• aymericdamien / TensorFlow-Examples
  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
  ☆43,572Updated 8 months ago
• GokuMohandas / Made-With-ML
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆38,353Updated 7 months ago
• fchollet / deep-learning-with-python-notebooks
  Jupyter notebooks for the code samples of the book "Deep Learning with Python"
  ☆19,076Updated this week