artificial-intelligence-and-machine-learning
MEDIUM_NoteBook
Our great sponsors
artificial-intelligence-and-machine-learning | MEDIUM_NoteBook | |
---|---|---|
1 | 1 | |
156 | 2,023 | |
- | - | |
0.0 | 6.8 | |
10 months ago | 24 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
artificial-intelligence-and-machine-learning
-
Perceptron Algorithm from Scratch in Python
Thanks, you can check out the github repository if needed!
MEDIUM_NoteBook
What are some alternatives?
python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
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.
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.
fastbook - The fastai book, published as Jupyter Notebooks
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
catboost-quickstart - 🐈 🚀 Quickstart machine learning notebooks for creating CatBoost models
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.
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
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.