ML-foundations
linear-regression-from-scratch
| ML-foundations | linear-regression-from-scratch | |
|---|---|---|
| 1 | 5 | |
| 2,984 | 7 | |
| - | - | |
| 5.4 | 1.0 | |
| 18 days ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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ML-foundations
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Worried about Calculus
As others have said, you won't need calculus immediately, but it's important that you make a good attempt at learning up to Calc3. I also didn't have a math heavy undergrad so it took a lot of self-study for me, but it's possible. Simulation has a great math boot camp at the beginning to review everything but you'll want to be prepped with Calc before that because that class is all calculus based probability. Some other good resources are the 3Blue1Brown videos on YouTube. They have a great series for both calc & linear algebra to talk through all the intuition with visuals. I also really like John Krohns series because you code through the math which is very applicable for us in this program. I only did his linear Algebra, but he has a whole series with Calc and probability, too. https://github.com/jonkrohn/ML-foundations
linear-regression-from-scratch
What are some alternatives?
2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
DataScienceProjects
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
r-place-blender - Tools for r/Place data visualization with Blender and Python
wordlescraper - Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.
cliodynamics - This repository tries to analyze history from a computer science perspective.
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 Friedman
3D-printed-mirror-array - 3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns
ITC - Computer Science coursework and projects at Tec de Monterrey 👨🎓
60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML
algorithmica - A computer science textbook
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.