Alternatives and similar repositories for DataScienceCourse:

Users that are interested in DataScienceCourse are comparing it to the libraries listed below

• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆572Updated last year
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆504Updated 4 years ago
• leomiolane / linalg-for-ds
  Linear Algebra and Optimization for Data Science
  ☆24Updated 4 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• jcrouser / islr-python
  ☆107Updated 3 years ago
• asadoughi / stat-learning
  Notes and exercise attempts for "An Introduction to Statistical Learning"
  ☆2,143Updated 2 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆456Updated 4 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆274Updated 8 years ago
• tirthajyoti / Stats-Maths-with-Python
  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
  ☆917Updated 2 years ago
• zhiqiangzhongddu / Data-Science-Interview-Questions-and-Answers-General-
  Data Science Questions and Answers (General) for beginner
  ☆212Updated 7 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆323Updated last year
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆932Updated 2 years ago
• iamtodor / data-science-interview-questions-and-answers
  Data science interview questions with answers. Not ideally (yet)
  ☆1,610Updated 2 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆494Updated 6 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆906Updated 4 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆567Updated 4 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 5 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆532Updated 5 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆287Updated 6 years ago
• knathanieltucker / data-science-foundations
  ☆86Updated 2 years ago
• cdeweyx / DS-Career-Resources
  Compilation of resources for aspiring data scientists
  ☆2,064Updated 10 months ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆409Updated 3 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆196Updated 2 years ago
• AstronomerAmber / ML_prep
  Machine Learning interview prep guide
  ☆410Updated 4 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆734Updated 4 years ago
• theainerd / MLInterview
  A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
  ☆523Updated 3 years ago
• jayinai / ml-interview
  Preparing for machine learning interviews
  ☆902Updated 2 years ago
• andrewgbruce / statistics-for-data-scientists
  Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
  ☆1,163Updated 2 years ago
• bjherger / Uber-DS-Challenge
  Uber provided Data Science take home
  ☆92Updated 8 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆769Updated 2 years ago