IML_Notes

Notes and Fun things related to ETH Zürich Introduction to Machine Learning Course

I hope these notes can be helpful to you, this is my hobby and if I can get you excited about it too then that will make me super happy.

Disclaimer: these are not official notes, just by me, another student, errors might be plenty. Please point them out to me if you notice them.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
Kernels.pdf		Kernels.pdf
Matrix Algebra Cheat sheet.pdf		Matrix Algebra Cheat sheet.pdf
README.md		README.md
SVM.pdf		SVM.pdf
gaussian-mixture-models-cheatsheet.ipynb		gaussian-mixture-models-cheatsheet.ipynb
how-2-find-a-good-lambda.ipynb		how-2-find-a-good-lambda.ipynb
mini-check-missing-values-and-safe-cv.ipynb		mini-check-missing-values-and-safe-cv.ipynb
pandas-and-numpy-minireference.ipynb		pandas-and-numpy-minireference.ipynb
sklearn-and-linear-regression.ipynb		sklearn-and-linear-regression.ipynb
tfdata-datasets-mini-tutorial.ipynb		tfdata-datasets-mini-tutorial.ipynb
tips-tricks.ipynb		tips-tricks.ipynb