artificial-intelligence-and-machine-learning
python-machine-learning-book
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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!
python-machine-learning-book
- Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E]
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What is the purpose of meshgrid in Python / NumPy?
I am studying "Python Machine Learning" from Sebastian Raschka, and he is using it for plotting the decision borders. See input 11 here.
What are some alternatives?
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
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.
Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
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.
MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights