machine_learning_complete
data-science-notes
| machine_learning_complete | data-science-notes | |
|---|---|---|
| 2 | 1 | |
| 4,514 | 35 | |
| - | - | |
| 5.9 | 0.0 | |
| 8 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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machine_learning_complete
data-science-notes
What are some alternatives?
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
MAPIE - A scikit-learn-compatible module for estimating prediction intervals.
CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
event-transcripts - transcripts from our recorded events
Data-science - Collection of useful data science topics along with articles, videos, and code
PtitPrince - python version of raincloud
60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
strava-analysis - 🏃📊 Using strava to do personal analyses and to practice data scientist skills.
artificial-intelligence - AI projects in python, mostly Jupyter notebooks.
linear_elasticity_3D_fenics - Finite element modeling for linear elasticity problem in 3D by using FEniCS software