Seaborn 学习笔记
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The "Python Machine Learning (2nd edition)" book code repository and info resource
Matplotlib 3.0 Cookbook, published by Packt
Coursera Machine Learning - Python code
Contributions last year: 0
Max continuous contributions: 0
Recent contributions: 0
Commits, issues, and pull requests will appear on your contribution graph. Only when the email address used for the commits in local configuration is associated with your GitOSC account, the commits' contribution will be counted.