python-machine-learning-book-3rd-edition VS embedding-encoder

Compare python-machine-learning-book-3rd-edition vs embedding-encoder and see what are their differences.

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)
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python-machine-learning-book-3rd-edition embedding-encoder
3 1
4,386 40
- -
0.0 0.0
about 1 year ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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python-machine-learning-book-3rd-edition

Posts with mentions or reviews of python-machine-learning-book-3rd-edition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-07.

embedding-encoder

Posts with mentions or reviews of embedding-encoder. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing python-machine-learning-book-3rd-edition and embedding-encoder you can also consider the following projects:

linear-tree - A python library to build Model Trees with Linear Models at the leaves.

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

machine-learning-articles - 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

machine-learning-book - Code Repository for Machine Learning with PyTorch and Scikit-Learn

Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.

python-machine-learning-book-3rd-ed