zonemercy Goto Github PK

bootstrap

template of bootstrap

cubism

Cubism.js: A JavaScript library for time series visualization.

dataprocessing_python

Basic data processing functions

deepgbm

SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

good-clean-read

A Jekyll template for publishing clean, readable articles and single-page sites

gym

A toolkit for developing and comparing reinforcement learning algorithms.

interview_python

关于Python的面试题

jekyll-gitbook

Build Jekyll site with GitBook style!

kaggle

My kaggle competition solution and notebook

kaggle-bosch

code and files related to the Bosch competition on Kaggle

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggler

Code for Kaggle Data Science Competitions

keras-rl

Deep Reinforcement Learning for Keras.

lazyflow

lazy parallel ondemand zero copy numpy array data flows with caching and dirty propagation

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.

missingno

Missing data visualization module for Python.

multi_channel_reinforcement_learning

outlace.github.io

Blog

paratext

A library for reading text files over multiple cores.

python-sample-application

rl-stocktrading

stocks

flask stocks

talkingdata-adtracking-fraud-detection

My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/)

tnp

Telstra Network Disruptions - Predict service faults on Australia's largest telecommunications network

uberflask

Flask application utilizing the Uber API

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xicor

xi correlation method adapted for python

zhihu-python

获取知乎内容信息，包括问题，答案，用户，收藏夹信息

zhihu_bigdata

使用scrapy和pandas完成对知乎300w用户的数据分析。首先使用scrapy爬取知乎网的300w，用户资料，最后使用pandas对数据进行过滤，找出想要的知乎大牛，并用图表的形式可视化。

zonemercy.github.io

Personal blog