mikexcohen / LinAlg4DataScience
Code that accompanies the book "Linear Algebra for Data Science"
☆301Updated last month
Related projects ⓘ
Alternatives and complementary repositories for LinAlg4DataScience
- Python and MATLAB code for linear algebra textbook.☆160Updated last month
- ☆146Updated 7 months ago
- Python and MATLAB code for online linear algebra course☆159Updated last week
- Master calculus 1 using Python: derivatives and applications☆54Updated 10 months ago
- Code that accompanies online statistics and machine-learning course☆52Updated last week
- ☆138Updated last year
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆143Updated 5 months ago
- Errata and code for Effective Pandas book☆355Updated last year
- A repo for the book 'Streamlit for Data Science' by Tyler Richards☆204Updated last year
- ☆110Updated 8 months ago
- ☆103Updated 2 months ago
- Introduction to Computation and Programming Using Python☆157Updated 3 years ago
- ISLP package: data and code for labs☆114Updated 5 months ago
- Files for my "Pandas Workout" book☆55Updated 5 months ago
- Python Data Analysis, Third Edition, Published by Packt☆200Updated last year
- Up-to-date version of labs for ISLP☆760Updated 4 months ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆124Updated last week
- The Pandas Workshop, published by Packt☆83Updated last year
- Time Series Analysis with Python Cookbook, published by Packt☆254Updated last year
- Pandas Cookbook Second Edition, published by Packt☆288Updated last year
- ☆192Updated 3 months ago
- Source code for the book "Math for Deep Learning" (No Starch Press)☆122Updated 3 weeks ago
- Python code accompanying the course "A deep understanding of deep learning (with Python intro)"☆330Updated 4 months ago
- Hands-On Data Preprocessing in Python, published by Packt☆155Updated 3 months ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆190Updated last year
- Resources for Machine Learning Pocket Reference☆248Updated 3 years ago
- Interpretable ML with Python, 2E - published by Packt☆83Updated 8 months ago
- Practical Data Science with Python, published by Packt☆114Updated last year
- Applied Probability Theory for Everyone☆113Updated last month
- ☆107Updated last year