핸즈온 머신러닝 2/E의 주피터 노트북
Hands-On Machine Learning
Notes for Hands on Machine Learning with Scikit-Learn and TensorFlow
In this project RNN variations are tested on a dataset comprised of not only Bitcoin historical price, but also other influencing factors such as macroeconomic indices, sentiments etc.
🎥 Code from Nono.MA Live streams.
This repository contains a collection of advanced machine learning projects covering a wide range of topics and techniques.
Assignments and certificates from online courses
END TO END IMPLEMENTATION OF MACHINE LEARNING USING PYTHON
A repository to implement the exemple codes that are in Hands-on Machine Learning book.
"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."
My learning through Hands-On ML
Repo of the "Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow (3rd edition)" book.
A supervised univariate regression regression model for predicting house prices within local region of a larger area
Hands on Machine Learning : Encloses list of sklearn based projects
Notes and Code for Hands-On ML book.
My journey into understanding Machine Learning through coding with Python, Scikit learn, Numpy, Pandas, Matplotlib, Keras.
Notebooks with exercises from Hands-on-ML-with-Scikit-Learn (2019.09 Edition)
"Code from Hands-On Simulation Modeling with Python - Second Edition by Packt, focusing on simulation models for efficient decision-making."
Exercícios feitos durante o estudo do livro: Hands-On Machine Learning.
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