64 results found Sort:

rorysroes
SGX-Full-OrderBook-Tick-Data-Trading-Strategy rorysroes
646
1.9k
unknown
95
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
quant python trading orderbook investment market-maker market-making model-selection limit-order-book machine-learning feature-selection trading-strategies algorithmic-trading feature-engineering orderbook-tick-data quantitative-trading market-microstructure high-frequency-trading backtesting-trading-strategies
Created 2016-07-21
158 commits to master branch, last one about a year ago
feature-engine
feature_engine feature-engine
303
1.8k
bsd-3-clause
32
Feature engineering package with sklearn like functionality
python data-science scikit-learn machine-learning feature-selection feature-extraction feature-engineering
Created 2018-12-31
338 commits to main branch, last one 7 days ago
edyoda
data-science-complete-tutorial edyoda
763
1.8k
unknown
66
For extensive instructor led learning
numpy pandas pipeline scikit-learn decision-trees machine-learning feature-selection linear-regression nearest-neighbors
Created 2018-09-15
155 commits to master branch, last one about a year ago
mlr-org
mlr mlr-org
403
1.6k
other
106
Machine Learning in R
r mlr cran tuning learners stacking tutorial r-package clustering regression statistics data-science classification machine-learning feature-selection survival-analysis predictive-modeling imbalance-correction multilabel-classification hyperparameters-optimization
Created 2013-08-29
4,811 commits to master branch, last one about a year ago
Yimeng-Zhang
feature-engineering-and-feature-selection Yimeng-Zhang
410
1.3k
unknown
28
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
python data-mining machine-learning feature-selection feature-extraction feature-engineering
Created 2018-12-02
6 commits to master branch, last one 5 years ago
LastAncientOne
Deep_Learning_Machine_Learning_Stock LastAncientOne
306
1.2k
mit
33
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
trading algorithms prediction stock-data data-science stock-market stock-prices deep-learning stock-trading neural-network stock-analysis machine-learning stock-prediction feature-selection feature-extraction technical-analysis feature-engineering features-extraction financial-engineering stock-price-prediction
Created 2018-09-29
526 commits to master branch, last one 3 months ago
NVIDIA-Merlin
NVTabular NVIDIA-Merlin
143
1.0k
apache-2.0
35
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.
gpu nvidia deep-learning preprocessing machine-learning feature-selection recommender-system feature-engineering recommendation-system
Created 2020-04-03
1,074 commits to main branch, last one about a month ago
aerdem4
lofo-importance aerdem4
83
810
mit
14
Leave One Feature Out Importance
data-science explainable-ai machine-learning feature-selection feature-importance
Created 2019-01-14
32 commits to master branch, last one 5 months ago
alteryx
evalml alteryx
83
733
bsd-3-clause
22
EvalML is an AutoML library written in python.
automl data-science optimization model-selection machine-learning feature-selection feature-engineering hyperparameter-tuning
Created 2019-07-17
2,208 commits to main branch, last one 6 days ago
ashishpatel26
Amazing-Feature-Engineering ashishpatel26
252
615
unknown
14
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...
features data-mining data-science scikit-learn data-analysis deep-learning data-scientists feature-scaling machine-learning feature-selection data-visualization feature-extraction feature-engineering
Created 2019-02-19
13 commits to master branch, last one 9 months ago
AutoViML
featurewiz AutoViML
85
565
apache-2.0
7
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.
rfe rfecv xgboost feature-engg featuretools best-encoders feature-selection feature-extraction feature-engineering categorical-variables
Created 2020-11-29
346 commits to main branch, last one about a month ago
cerlymarco
shap-hypetune cerlymarco
71
549
mit
7
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
shap xgboost lightgbm model-selection parameter-tuning feature-selection hyperparameter-optimization
Created 2021-05-16
30 commits to main branch, last one 4 months ago
smazzanti
mrmr smazzanti
75
492
mit
8
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
mlops data-science machine-learning feature-selection
Created 2021-04-16
127 commits to main branch, last one about a month ago
cod3licious
autofeat cod3licious
59
483
mit
19
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
automl machine-learning feature-selection linear-regression feature-engineering automated-data-science machine-learning-models automated-machine-learning automated-feature-engineering
Created 2019-01-22
67 commits to main branch, last one 4 months ago
akanz1
klib akanz1
51
480
mit
5
Easy to use Python library of customized functions for cleaning and analyzing data.
klib python data-science data-analysis data-cleaning feature-selection data-preprocessing data-visualization
Created 2020-03-25
858 commits to main branch, last one 5 days ago
abess-team
abess abess-team
41
452
other
8
Fast Best-Subset Selection Library
r python scikit-learn cox-regression machine-learning feature-selection linear-regression multitask-learning ordinal-regression poisson-regression logistic-regression polynomial-algorithm best-subset-selection high-dimensional-data classification-algorithm sure-independence-screening principal-component-analysis robust-principal-component-analysis sparse-principal-component-analysis
Created 2020-12-20
2,747 commits to master branch, last one 28 days ago
EpistasisLab
scikit-rebate EpistasisLab
72
402
mit
24
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
python data-science feature-selection
Created 2016-09-19
283 commits to master branch, last one 3 years ago
yzkang
My-Data-Competition-Experience yzkang
68
382
unknown
9
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
gan sql automl python xgboost catboost lightgbm data-science model-fusion deep-learning model-selection machine-learning feature-selection kaggle-competition feature-engineering tianchi-competition hyperparameter-optimization
Created 2019-10-11
73 commits to master branch, last one 3 years ago
Desbordante
desbordante-core Desbordante
62
363
agpl-3.0
9
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...
data-mining correlations data-science spreadsheets tabular-data data-cleaning data-analytics data-cleansing data-profiling data-wrangling data-engineering data-exploration anomaly-detection feature-selection data-preprocessing feature-extraction feature-engineering knowledge-discovery data-mining-algorithms exploratory-data-analysis
Created 2020-04-09
1,206 commits to main branch, last one 10 hours ago
kaushalshetty
FeatureSelectionGA kaushalshetty
95
357
mit
9
Feature Selection using Genetic Algorithm (DEAP Framework)
deap python machine-learning feature-selection genetic-algorithm
Created 2017-11-12
36 commits to master branch, last one 3 years ago
jalajthanaki
NLPython jalajthanaki
205
315
mit
22
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"
parsing python2 text-mining deep-learning part-of-speech feature-selection feature-extraction feature-engineering python-scripting-language natural-language-processing
Created 2017-02-18
113 commits to master branch, last one 5 years ago
upgini
upgini upgini
25
300
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...
llm automl kaggle chatgpt features open-data public-data data-science scikit-learn open-datasets python-library automl-pipeline data-enrichment kaggle-solution machine-learning feature-selection feature-extraction feature-engineering large-language-models automated-feature-engineering
Created 2021-12-08
745 commits to main branch, last one 9 days ago
adapt-python
adapt adapt-python
43
285
bsd-2-clause
5
Awesome Domain Adaptation Python Toolbox
dann python tensorflow scikit-learn deep-learning generalization machine-learning domain-adaptation feature-selection few-shot-learning transfer-learning zero-shot-learning importance-sampling adversarial-learning adversarial-networks regularization-parameters
Created 2020-06-25
572 commits to master branch, last one 5 months ago
rodrigo-arenas
Sklearn-genetic-opt rodrigo-arenas
73
284
mit
5
ML hyperparameters tuning and features selection, using evolutionary algorithms.
deap automl python sklearn help-wanted scikit-learn up-for-grabs goodfirstissue hyperparameters model-selection featureselection good-first-issue machine-learning begginer-friendly feature-selection contributions-welcome artificial-intelligence evolutionary-algorithms looking-for-contributors hyperparameter-optimization
Created 2020-01-18
486 commits to master branch, last one about a month ago
solegalli
feature-selection-for-machine-learning solegalli
323
277
other
9
Code repository for the online course Feature Selection for Machine Learning
python data-science machine-learning feature-selection
Created 2020-01-08
19 commits to main branch, last one 2 months ago
rasgointelligence
feature-engineering-tutorials rasgointelligence
98
268
agpl-3.0
9
Data Science Feature Engineering and Selection Tutorials
pandas python jupyter pyrasgo xgboost features notebook sweetviz tutorial tutorials data-science scikit-learn data-cleaning machine-learning pandas-profiling feature-selection feature-engineering exploratory-data-analysis
Created 2021-05-07
68 commits to main branch, last one 2 years ago
JingweiToo
Wrapper-Feature-Selection-Toolbox-Python JingweiToo
69
242
bsd-3-clause
5
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.
wrapper data-mining bat-algorithm cuckoo-search classification machine-learning feature-selection firefly-algorithm genetic-algorithm grey-wolf-optimizer salp-swarm-algorithm sine-cosine-algorithm differential-evolution harris-hawks-optimization particle-swarm-optimization flower-pollination-algorithm whale-optimization-algorithm
Created 2020-12-25
38 commits to main branch, last one 3 years ago
jaswinder9051998
zoofs jaswinder9051998
45
236
apache-2.0
4
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...
python grey-wolf optimization particle-swarm machinelearning machine-learning subset-selection feature-selection genetic-algorithm optimization-tools grey-wolf-optimizer supervised-learning optimization-methods evolutionary-algorithms optimization-algorithms machine-learning-algorithms particle-swarm-optimization
Created 2020-07-11
264 commits to master branch, last one about a year ago
danyalimran93
Music-Emotion-Recognition danyalimran93
62
218
unknown
12
A Machine Learning Approach of Emotional Model
librosa data-science feature-scaling machine-learning feature-selection feature-extraction digital-signal-processing music-information-retrieval
Created 2017-02-16
11 commits to master branch, last one 3 years ago
arnaldog12
Machine_Learning arnaldog12
65
215
mit
24
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
knn kmeans python adaboost regression naive-bayes decision-trees neural-network machine-learning feature-selection linear-regression logistic-regression polynomial-regression multilinear-regression redes-neurais-artificiais machine-learning-algorithms linear-discriminant-analysis principal-component-analysis
Created 2017-05-17
69 commits to master branch, last one 2 years ago