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.

"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."

Assignments and certificates from online courses

END TO END IMPLEMENTATION OF MACHINE LEARNING USING PYTHON

Repo of the "Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow (3rd edition)" book.

A repository to implement the exemple codes that are in Hands-on Machine Learning book.

A supervised univariate regression regression model for predicting house prices within local region of a larger area

"Code from Hands-On Simulation Modeling with Python - Second Edition by Packt, focusing on simulation models for efficient decision-making."

"Implementations of deep learning concepts from Deep Learning with Python (Second Edition) by François Chollet. Includes hands-on examples, code exercises, and practical applications using TensorFlow and Keras."

My learning through Hands-On ML

Exercícios feitos durante o estudo do livro: Hands-On Machine Learning.

Notes and Code for Hands-On ML book.

Hands on Machine Learning : Encloses list of sklearn based projects

My journey into understanding Machine Learning through coding with Python, Scikit learn, Numpy, Pandas, Matplotlib, Keras.