Youcai Fang's repositories
MetaCost
P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. The procedure, called MetaCost, treats the underlying classifier as a black box, requiring no knowledge of its functioning or change to it.
spark-learn
Developing........One-stop data mining tools in Python Spark
featuretools
An open source python framework for automated feature engineering
helloflask
《Flask Web 开发实战》Meta 仓库
learningPySpark
Code base for the Learning PySpark book (in preparation)
lihang-code
《统计学习方法》的代码实现
machine-learning
Some implementations of data mining algorithms
read_requests
python requests 源码阅读,学习更pythonic 的python代码写法。
scikit-learn
scikit-learn: machine learning in Python
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs