#计算机科学#Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
#计算机科学#Feature engineering package with sklearn like functionality
#计算机科学#For extensive instructor led learning
#计算机科学#Machine Learning in R
#计算机科学#A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
#算法刷题#Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
#计算机科学#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.
#计算机科学#Leave One Feature Out Importance
#计算机科学#EvalML is an AutoML library written in python.
翻译 - EvalML是用python编写的AutoML库。
#计算机科学#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...
#计算机科学#Features selector based on the self selected-algorithm, loss function and validation method
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.
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
#计算机科学#mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
#计算机科学#Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Easy to use Python library of customized functions for cleaning and analyzing data.
#计算机科学#Fast Best-Subset Selection Library
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
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...
