pytanis
handson-ml
| pytanis | handson-ml | |
|---|---|---|
| 1 | 1 | |
| 25 | 25,099 | |
| - | - | |
| 8.4 | 0.0 | |
| 8 days ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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pytanis
handson-ml
-
need a book recommendation for machine learning on python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml
What are some alternatives?
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
tensorflow - An Open Source Machine Learning Framework for Everyone