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记录从Python基础学习到数据分析挖掘机器学习

-gaussian-process-regression-gpr-for-uci-dataset

Gaussian Process Regression (GPR) to deal with some regression problems in UCI

1-pandas-intro

利用Pandas分析离线股票数据(秒级记录)

2-scikit-learn-intro

利用Scikit Learn对秒级股票数据进行建模预测

2019challengeentries

PhysioNet/CinC Challenge 2019 Entries

aeta-prediction-um-iit

AETA prediction

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

ccts

Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks

chicken-sales-forecast

回归预测

complexityregression

R codes of complexity measures for regression problems

design-resource

A list of design resources.

dte

dynamic-model-tree

Dynamic Model Tree Online Classifier

dynamically-adjusted-regressor-chain-method

ella

ex-ny-taxi-

facerec-python

个人毕业设计 - 基于树莓派、OpenCV及Python语言的人脸识别

fastknn

forecasting-time-series-data-with-facebook-prophet

Forecasting Time-Series Data with Facebook Prophet, published by Packt

forecastxgb-r-package

An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes

gbdt

A simple GBDT in Python

gbdt-1

gdbt implement by scikit-learn

gbdt-py

gbdt算法

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

hands-on-machine-learning-for-algorithmic-trading-sample

Hands-On Machine Learning for Algorithmic Trading, published by Packt

jgpr

kaggle-2014-criteo

learn-algorithmic-trading

Learn Algorithmic Trading, Published by Packt

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.

machine-learning-for-algorithmic-trading-second-edition_original

Machine Learning for Algorithmic Trading, Second Edition - published by Packt