Alternatives and similar repositories for CS506-Computational-Tools-for-Data-Science

Users that are interested in CS506-Computational-Tools-for-Data-Science are comparing it to the libraries listed below

• ChuntaoLu / Algorithms-Design-and-Analysis
  Algorithms I learned from Stanford's Algorithms: Design and Analysis
  ☆78Updated 4 years ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆89Updated 8 months ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆180Updated 7 years ago
• 1094401996 / machine-learning-coursera
  Lecture notes and assignments for coursera machine learning class
  ☆95Updated 12 years ago
• data-8 / data8assets
  Assets for data8.org
  ☆111Updated 9 months ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆312Updated 3 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆101Updated last year
• orsenthil / coursedocs
  Notes from OMSCS Lectures and Transcripts.
  ☆81Updated 7 months ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆148Updated 4 years ago
• andrewenoble / machine-learning-andrew-ng
  Python solutions to Andrew Ng's Machine Learning Course Exercises
  ☆55Updated 8 years ago
• mnielsen / notes-on-neural-networks
  Rough working notes on neural networks
  ☆46Updated 11 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆325Updated 2 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• filR / edX-CS188.1x-Artificial-Intelligence
  Projects from the edX (BerkleyX) course: CS188.1x Artificial Intelligence
  ☆88Updated 10 years ago
• krasserm / machine-learning-notebooks
  Stanford Machine Learning course exercises implemented with scikit-learn
  ☆349Updated 4 years ago
• brohrer / brohrer.github.io
  Public web page for brohrer
  ☆98Updated 5 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆84Updated 8 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 years ago
• cliburn / sta-663-2018
  ☆73Updated 6 years ago
• arvin-dwarka / Udacity_Machine_Learning_Engineer
  Udacity Machine Learning Engineer Nanodegree
  ☆31Updated 8 years ago
• dvklopfenstein / PrincetonAlgorithms
  Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne
  ☆168Updated 3 months ago
• jessicayung / algorithms-programming-problems
  Implementations of algorithms and notes from programming problems.
  ☆17Updated 6 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆99Updated 2 years ago
• colah / Visualizing-Deep-Learning
  A series of blog posts on visualizing deep learning.
  ☆163Updated 8 years ago
• deedy / gradcafe_data
  ☆79Updated 9 years ago
• udacity / AIND-Simulated_Annealing
  Jupyter notebook exercise to check your understanding of simulated annealing
  ☆61Updated 3 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆234Updated 4 years ago
• profjsb / python-bootcamp
  Python Bootcamp docs and lectures (UC Berkeley)
  ☆239Updated 8 years ago