Alternatives and similar repositories for DataQnA

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

• AllenDowney / DSIRP
  Data Structures and Information Retrieval in Python
  ☆133Updated 11 months ago
• reuven / pandas-workout
  Files for my "Pandas Workout" book
  ☆83Updated last year
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆116Updated 9 months ago
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆184Updated 9 months ago
• minireference / noBSLAnotebooks
  Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
  ☆233Updated last year
• mattharrison / effective_pandas_book
  Errata and code for Effective Pandas book
  ☆365Updated 2 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• mikexcohen / LinAlg4DataScience
  Code that accompanies the book "Linear Algebra for Data Science"
  ☆349Updated 9 months ago
• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆203Updated 5 months ago
• AllenDowney / ElementsOfDataScienceBook
  Repository for the manuscript of Elements of Data Science
  ☆30Updated 11 months ago
• AllenDowney / ThinkStats
  Notebooks for the third edition of Think Stats
  ☆220Updated 2 weeks ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆199Updated 2 years ago
• thomasnield / oreilly_math_fundamentals_data_science
  ☆194Updated 2 months ago
• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆76Updated 3 years ago
• DSML-book / Programs
  Programs
  ☆116Updated 8 months ago
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆145Updated last year
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆196Updated last year
• AllenDowney / ElementsOfDataScience
  An introduction to data science in Python, for people with no programming experience.
  ☆437Updated last month
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆258Updated last year
• Codecademy / Master-Statistics-Live-Series
  ☆174Updated last year
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆243Updated 9 months ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆53Updated 10 months ago
• Apress / thinking-in-pandas
  Source Code for 'Thinking in Pandas' by Hannah Stepanek
  ☆34Updated 5 years ago
• jsulopzs / resolving-python-method
  Learning materials to get started with Python using Pandas, a library to manipulate Data.
  ☆30Updated 2 years ago
• rkneusel9 / MathForDeepLearning
  Source code for the book "Math for Deep Learning" (No Starch Press)
  ☆163Updated 3 months ago
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆77Updated 2 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆361Updated 3 years ago
• chendaniely / scipy-2020-pandas
  Learn Python through Data Processing in Pandas Tutorial
  ☆38Updated 5 years ago
• DavidMertz / ML-Webinar
  Machine Learning with sklearn tutorials (for Pearson)
  ☆109Updated last year
• thomasnield / oreilly_essential_math_for_data_science_book
  Book code for "Essential Math for Data Science"
  ☆49Updated 2 years ago