MEDIUM_NoteBook VS artificial-intelligence-and-machine-learning

Compare MEDIUM_NoteBook vs artificial-intelligence-and-machine-learning and see what are their differences.

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MEDIUM_NoteBook artificial-intelligence-and-machine-learning
1 1
2,023 156
- -
6.8 0.0
24 days ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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MEDIUM_NoteBook

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

artificial-intelligence-and-machine-learning

Posts with mentions or reviews of artificial-intelligence-and-machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MEDIUM_NoteBook and artificial-intelligence-and-machine-learning you can also consider the following projects:

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource

notebooks - Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

fastbook - The fastai book, published as Jupyter Notebooks

Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

catboost-quickstart - 🐈 🚀 Quickstart machine learning notebooks for creating CatBoost models

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

Diabetes-Prediction-Using-SVM - In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.