Bingying Shao's repositories
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
categorical-encoding
A library of sklearn compatible categorical variable encoders
Coursera
Quiz & Assignment of Coursera
flask_api
Creating a Machine Learning API using Flask - Repository for AV Article
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
hyperband
Tuning hyperparams fast with Hyperband
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
machine-learning-python
機器學習: Python
open-nsynth-super
Open NSynth Super is an experimental physical interface for the NSynth algorithm
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
scikit-learn
scikit-learn: machine learning in Python
scikit-learn-contrib
scikit-learn compatible projects
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
scorecardpy
Scorecard Development in python
shap
A unified approach to explain the output of any machine learning model
statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"