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Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Created 2016-07-21
158 commits to master branch, last one 2 years ago
319
2.0k
bsd-3-clause
34
Feature engineering package with sklearn like functionality
Created 2018-12-31
370 commits to main branch, last one 25 days ago
For extensive instructor led learning
Created 2018-09-15
155 commits to master branch, last one 2 years ago
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Created 2018-12-02
6 commits to master branch, last one 6 years ago
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Created 2018-09-29
526 commits to master branch, last one 11 months ago
143
1.1k
apache-2.0
32
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Created 2020-04-03
1,075 commits to main branch, last one 6 months ago
Leave One Feature Out Importance
Created 2019-01-14
33 commits to master branch, last one 2 days ago
87
802
bsd-3-clause
21
EvalML is an AutoML library written in python.
Created 2019-07-17
2,212 commits to main branch, last one 3 months ago
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning alg...
Created 2019-02-19
13 commits to master branch, last one about a year ago
91
603
apache-2.0
8
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Created 2020-11-29
350 commits to main branch, last one 18 days ago
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Created 2021-05-16
30 commits to main branch, last one 12 months ago
81
557
mit
8
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
Created 2021-04-16
130 commits to main branch, last one 2 months ago
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Created 2019-01-22
76 commits to main branch, last one 4 months ago
54
503
mit
4
Easy to use Python library of customized functions for cleaning and analyzing data.
Created 2020-03-25
887 commits to main branch, last one about a month ago
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Created 2016-09-19
283 commits to master branch, last one 4 years ago
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algor...
Created 2020-04-09
1,635 commits to main branch, last one a day ago
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
Created 2019-10-11
73 commits to master branch, last one 3 years ago
Feature Selection using Genetic Algorithm (DEAP Framework)
Created 2017-11-12
36 commits to master branch, last one 4 years ago
25
325
bsd-3-clause
5
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & comme...
Created 2021-12-08
836 commits to main branch, last one a day ago
This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
Created 2017-02-18
113 commits to master branch, last one 6 years ago
Code repository for the online course Feature Selection for Machine Learning
Created 2020-01-08
22 commits to main branch, last one 3 months ago
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
Created 2020-12-25
38 commits to main branch, last one 4 years ago
46
245
apache-2.0
5
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's ea...
Created 2020-07-11
264 commits to master branch, last one 2 years ago
A Machine Learning Approach of Emotional Model
Created 2017-02-16
11 commits to master branch, last one 4 years ago