1.rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
+53 stars
from 2,316 · score 3.99
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2.feature-engine / feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
+32 stars
from 2,264 · score 3.50
3.Desbordante / desbordante-core
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 algorithms. Desbordante has a console version and an easy-to-use web application.
+22 stars
from 493 · score 3.14
4.rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
+5 stars
from 386 · score 1.79
5.mlr-org / mlr
Machine Learning in R
+3 stars
from 1,683 · score 1.39
6.jaswinder9051998 / zoofs
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 easy to use , flexible and powerful tool to reduce your feature size.
+1 stars
from 254 · score 0.69