There are 2 repositories under hands-on-machine-learning topic.
핸즈온 머신러닝 2/E의 주피터 노트북
Hands-On Machine Learning
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.
Notes for Hands on Machine Learning with Scikit-Learn and TensorFlow
END TO END IMPLEMENTATION OF MACHINE LEARNING USING PYTHON
My learning through Hands-On ML
A repository to implement the exemple codes that are in Hands-on Machine Learning book.
빅데이터 연합동아리 BOAZ에서 진행하는 핸즈온 머신러닝 스터디에 대한 레포지토리입니다.
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
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)
Exercícios feitos durante o estudo do livro: Hands-On Machine Learning.