Tatsunaga Hayashi's repositories
Edge-AI-Platform-Tutorials
This is a new documentation repository
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
practical-web-scraping-for-data-science
Source code for 'Practical Web Scraping for Data Science' by Seppe vanden Broucke and Bart Baesens
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
scikit-learn-Cookbook-Second-Edition
scikit-learn Cookbook Second Edition, published by Packt
book-python-scraping
『Pythonによるスクレイピング&機械学習 開発テクニック』のサンプルプログラム
Julia-for-Data-Science
Code Repository for Julia for Data Science, published by Packt
LibFM_in_Keras
This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
TalkingData
TalkingData AdTracking Fraud Detection Challenge
TorchTextTutorial
A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.
word-embedding-dimensionality-selection
On the Dimensionality of Word Embedding