Alternatives and similar repositories for LinAlg4DataScience:

Users that are interested in LinAlg4DataScience are comparing it to the libraries listed below

• mikexcohen / calculusWithPython
  Master calculus 1 using Python: derivatives and applications
  ☆58Updated last year
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆174Updated 5 months ago
• mikexcohen / LinAlgCourse
  Python and MATLAB code for online linear algebra course
  ☆166Updated 4 months ago
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆142Updated last year
• thomasnield / machine-learning-demo-data
  ☆173Updated 3 months ago
• packtjaniceg / Python-Machine-Learning-by-Example-Fourth-Edition
  Python Machine Learning by Example, Fourth Edition
  ☆56Updated 8 months ago
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook
  Time Series Analysis with Python Cookbook, published by Packt
  ☆272Updated last year
• PacktPublishing / Hands-On-Data-Structures-and-Algorithms-with-Python-Third-Edition
  Data Structures and Algorithms with Python – Third Edition
  ☆128Updated 10 months ago
• mikexcohen / DeepUnderstandingOfDeepLearning
  Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
  ☆381Updated last month
• PacktPublishing / Python-Machine-Learning-By-Example-Third-Edition
  Python Machine Learning By Example Third Edition, published by Packt
  ☆182Updated 2 years ago
• thomasnield / oreilly_essential_math_for_data_science_book
  Book code for "Essential Math for Data Science"
  ☆42Updated last year
• reuven / pandas-workout
  Files for my "Pandas Workout" book
  ☆69Updated 9 months ago
• 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…
  ☆177Updated 9 months ago
• mattharrison / effective_pandas_book
  Errata and code for Effective Pandas book
  ☆361Updated 2 years ago
• PacktPublishing / Mastering-NLP-from-Foundations-to-LLMs
  Mastering NLP from Foundations to LLMs, Published by Packt
  ☆84Updated 6 months ago
• PacktPublishing / Python-Object-Oriented-Programming---4th-edition
  Code Repository for Python Object-Oriented Programming - 4th edition, Published by Packt
  ☆234Updated 4 months ago
• PacktPublishing / Data-Science-Projects-with-Python-Second-Ed
  ☆117Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python-Second-Edition
  ☆212Updated last month
• PacktPublishing / Developing-Kaggle-Notebooks
  ☆123Updated last month
• PacktPublishing / Python-Data-Cleaning-Cookbook-Second-Edition
  Python Data Cleaning Cookbook, Second Edition - Published by Packt
  ☆43Updated 9 months ago
• paskhaver / pandas-in-action
  Complete source code (datasets and Jupyter Notebooks) for Pandas In Action
  ☆223Updated 2 years ago
• alexeygrigorev / mlbookcamp-code
  The code from the Machine Learning Bookcamp book
  ☆338Updated 6 months ago
• PacktPublishing / Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
  The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…
  ☆130Updated 3 months ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆246Updated last year
• intro-stat-learning / ISLP
  ISLP package: data and code for labs
  ☆134Updated 3 months ago
• PacktPublishing / Hands-On-Data-Preprocessing-in-Python
  Hands-On Data Preprocessing in Python, published by Packt
  ☆177Updated 7 months ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆204Updated 2 years ago
• PacktPublishing / Python-Deep-Learning-Third-Edition
  Python Deep Learning, Third Edition, published by Packt
  ☆55Updated last month
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆182Updated last year
• Harvard-IACS / 2021-CS109A
  ☆135Updated 3 years ago