Alternatives and similar repositories for DataScienceCourse

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

• jcrouser / islr-python
  ☆110Updated 4 years ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆941Updated 3 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆578Updated 2 years ago
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆503Updated 5 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆328Updated 2 years ago
• cs109 / 2015lab1
  ☆215Updated 4 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆150Updated 5 years 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…
  ☆423Updated 4 months ago
• alexhuang1117 / Data-Science-Portfolio
  A Portfolio of my Data Science Projects
  ☆186Updated 6 years ago
• juincc0 / python_data_science_and_machine_learning_bootcamp
  Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
  ☆227Updated 9 years ago
• knathanieltucker / data-science-foundations
  ☆88Updated 3 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago
• justmarkham / pycon-2019-tutorial
  Data Science Best Practices with pandas
  ☆533Updated 5 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,487Updated 3 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆782Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 3 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆120Updated 7 years ago
• zhiqiangzhongddu / Data-Science-Interview-Questions-and-Answers-General-
  Data Science Questions and Answers (General) for beginner
  ☆222Updated 8 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆203Updated 3 years ago
• dformoso / sklearn-classification
  Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
  ☆697Updated 4 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆284Updated 9 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆915Updated 5 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆314Updated 5 years ago
• Benlau93 / Machine-Learning-by-Andrew-Ng-in-Python
  Documenting my python implementation of Andrew Ng's Machine Learning course
  ☆313Updated 7 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆793Updated 3 years ago
• leomiolane / linalg-for-ds
  Linear Algebra and Optimization for Data Science
  ☆24Updated 5 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆822Updated 5 years ago
• DataScienceUB / introduction-datascience-python-book
  Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
  ☆452Updated last year