MEDIUM_NoteBook
artificial-intelligence-and-machine-learning
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MEDIUM_NoteBook
artificial-intelligence-and-machine-learning
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Perceptron Algorithm from Scratch in Python
Thanks, you can check out the github repository if needed!
What are some alternatives?
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.