will-sh3-b33
handson-ml
| will-sh3-b33 | handson-ml | |
|---|---|---|
| 3 | 1 | |
| 3 | 25,097 | |
| - | - | |
| 0.7 | 0.0 | |
| about 1 year ago | 7 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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will-sh3-b33
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[D] Are there pytorch notebooks for the Aurelien Geron's book "Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow"?
Also, ML is not all about the actual learning. Data preprocessing is important as well. Hell, KNOWING your data is an important step. As an ML engineer, I wanted a quick way to show my deploying skills so I downloaded an OkCupid dataset and trained 3 shallow and deep networks to tell you whether you'll be alone or not. What I did not realize was that out of 59k records, 56k were single! I fucked up royally but not knowing my data. I also made some mistakes in preprocessing it. If ya wanna see it, go here.
- Will Sh3 B33 is on Github: Predicting whether you'll find love based on OkCupid Data
- My OkCupid project is nearly done!
handson-ml
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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?
biggestwar_ai
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.
examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
diversity_measures - Code for the paper: Diversity Measures: Domain Independent Proxies for Failure in Language Model Queries
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