Alternatives and similar repositories for 2020-S109A

Users that are interested in 2020-S109A are comparing it to the libraries listed below

• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆179Updated 4 years ago
• iArunava / Python-TheNoTheoryGuide
  Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.
  ☆109Updated 2 years ago
• dair-ai / awesome-ML-projects-guide
  A guide to building awesome machine learning projects.
  ☆250Updated 4 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆64Updated 4 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 5 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• DataForScience / NLP
  Natural Language Processing For Everyone
  ☆136Updated last year
• parulnith / Explainable-AI-Workshop
  ☆17Updated 2 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 4 years ago
• yanneta / ML-notebooks
  Here are notebooks for the advanced machine learning course for MSDS at USF.
  ☆46Updated last year
• harshitahluwalia7895 / Free-Courses-on-Data-Science
  ☆25Updated 6 years ago
• dair-ai / notebooks
  🔬 Sharing your data science notebooks with the community has never been this easy.
  ☆41Updated 3 years ago
• kozyrkov / deep-learning-walkthrough
  Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.
  ☆98Updated 5 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆123Updated last year
• maxhumber / BRE
  ⭕️ Building Recommendation Engines
  ☆61Updated 2 years ago
• aamirkhan647 / DataCamp-Notes
  ☆78Updated 6 years ago
• lazyprogrammer / matlab-probability-class
  Resources and Materials for MATLAB Probability class
  ☆10Updated 10 years ago
• pierpaolo28 / Companies-Data-Science-Challenges
  Collection of Data Science Challenges designed by different companies during Hackatons, Events, etc...
  ☆28Updated 4 years ago
• ansegura7 / NLP
  Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and tech…
  ☆81Updated 2 years ago
• Tebs-Lab / intro-to-deep-learning
  A collection of materials to help you learn about deep learning
  ☆181Updated last year
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 5 years ago
• amitkaps / deep-learning
  Deep Learning Bootcamp
  ☆67Updated 6 years ago
• nithyadurai87 / machine_learning_examples
  machine_learning_examples
  ☆71Updated 9 months ago
• noahgift / edge-computer-vision
  Edge Computer Vision Course
  ☆46Updated 9 months ago
• yezhilengyue / Python_ML_Practice
  Following the instruction of "Machine Learning Mastery With Python"
  ☆41Updated 5 years ago
• mGalarnyk / DataScienceInterview
  Interview stuff for friends
  ☆84Updated 2 years ago
• Robofied / Awesome-NLP-Resources
  This repository contains landmark research papers in Natural Language Processing that came out in this century.
  ☆215Updated 4 years ago
• noahgift / functional_intro_to_python
  [tutorial]A functional, Data Science focused introduction to Python
  ☆309Updated 9 months ago
• ansegura7 / MachineLearning
  Practical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts an…
  ☆76Updated 2 years ago