Alternatives and similar repositories for data-science-interviews

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

• alexeygrigorev / datascience-recruitment-challenges
  Home assignments for data science positions
  ☆154Updated 3 years ago
• open-data-science / ultimate_posts
  Ultimate posts for opendatascience telegram channel
  ☆152Updated 3 years ago
• Erlemar / Erlemar.github.io
  Data science portfolio
  ☆367Updated 4 years ago
• abhishekkrthakur / mlframework
  ☆202Updated last year
• mervynlee94 / Advance-Machine-Learning
  ☆85Updated 8 years ago
• jeffheaton / jh-kaggle-util
  Jeff Heaton's Kaggle Utilities
  ☆281Updated 5 years ago
• legolas140 / competitive-data-science-1
  How to Win a Data Science Competition: Learn from Top Kagglers
  ☆175Updated 7 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• learnaidrist / Coursera-HSE-Introduction-to-Deep-Learning
  ☆23Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• Yorko / stanford_cs231n_2019
  Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
  ☆156Updated 2 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆457Updated 5 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆315Updated 5 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 5 years ago
• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆658Updated 5 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆547Updated 6 years ago
• kunalj101 / Data-Science-Hacks
  Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to adva…
  ☆422Updated 3 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• Brandon-HY-Lin / coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
  Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
  ☆148Updated 6 years ago
• chayankathuria / LinkedIn-Daily-Posts
  This is a curated list of all my posts on LinkedIn regarding Data Science, which I publish daily.
  ☆33Updated 5 years ago
• datagym-ru / dl_cmu_content
  Course content repository
  ☆29Updated 6 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• alexhuang1117 / Data-Science-Portfolio
  A Portfolio of my Data Science Projects
  ☆186Updated 6 years ago
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆223Updated 4 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 3 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• marnikitta / stattests
  Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
  ☆210Updated 3 years ago
• pierpaolo28 / Data-Visualization
  Collection of interactive Jupiter Notebook widgets and graphs.
  ☆161Updated 2 years ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆86Updated 9 years ago