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GitHub topics: featureselection

txnlnn/Exploring-Developing-a-Model-for-Obesity-Estimation-Based-on-Eating-Habits-and-Physical-Condition

Data Science Fundamental assignment

Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Language: Python - Size: 124 MB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 334 - Forks: 79

miguelmoralh/feature-selection-benchmark

Comprehensive benchmark study of feature selection techniques for predictive machine learning models on tabular data. Various feature selection methods are evaluated across different data characteristics and predictive scenarios.

Language: Python - Size: 26.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Bin-Cao/TCGPR

Machine Learning Algorithm : outlier identifying, feature selection

Language: Jupyter Notebook - Size: 60.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 4

Flanker-shyam/NetForensix

A smart Network Intrusion detection tool to perform forensics on your network.

Language: Python - Size: 50.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 2

saikrishnabudi/Random-Forests

Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AbdulrahmanElgunidy/5G-Network-Optimization-and-Analysis-using-AI

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vivekpisal/ML_Library

Language: Python - Size: 90.8 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

ZhenyuWangg/Song-Scoring-Predictive-Modeling---Predictive-Analysis-Competition---Columbia-University-

Giving a song dataset, thorough exploratory analysis, diverse model construction, and innovative feature engineering to developing predictive models for song scoring.

Size: 2.29 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lyj555/MachineLearningProcess

主要包含ModelHelper和NLPHelper,其中ModelHelper主要有特征选择、超参数搜索、模型解释和模型融合等,NLPHelper则是进一步封装了NLP一些常用的操作,常用的网络结构以及几个NLP的任务

Language: Python - Size: 5.66 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

Metu-O/Feature-Selection-Qiime2-

This repository describes the methods used to test different sci-kit learn feature selection methods as part of Qiime2 q2-classifier.

Language: Jupyter Notebook - Size: 9.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

samchak18/Book-Recommendation-System

AlmaBetter Capstone Project - Unsupervised ML. Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

HenyerM/Predicting-House-Sell-Price

In this project we will work with housing data for the city of Ames, Iowa, United States from 2006 to 2010. You can read more about why the data was collected here (https://doi.org/10.1080/10691898.2011.11889627). You can also read about the different columns in the data here (https://www.tandfonline.com/doi/abs/10.1080/10691898.2011.11889627).

Language: Jupyter Notebook - Size: 282 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

mayank0rastogi/MACHINE-LEARNING-ALGORITHMS

This Repository Contains Different Machine Learning and Important Concepts

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

varunnthakuur/dataprocessing

EDA

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

teja0508/Drugs-Recommendation-using-Reviews

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

hmohebbi/R_FeatureSelection

Forward and backward feature selection with adjusted R squared in R

Language: R - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Related Keywords
featureselection 17 machine-learning 5 python 4 datacleaning 4 linear-regression 3 sklearn 3 scikit-learn 3 eda 2 feature-engineering 2 feature-selection 2 classification 2 nlp 2 seaborn 1 pandas 1 numpy 1 modeldevelopment 1 matpolotlib 1 feature-extraction 1 descriptive-statistics 1 datavisualization-project 1 dataprocessing 1 dataexploration 1 data-science 1 capstone-project 1 almabetter 1 modeling 1 qiime2 1 random-forest 1 naive-bayes-classifier 1 parameter-tuning 1 model-explanation 1 ensemble-model 1 rstudio 1 regression 1 rmse-score 1 statistical-inference 1 recommendation-engine 1 hybridmodel 1 deep-learning 1 datavisualization 1 dataanalysis 1 boosting 1 baggingalgorithms 1 ml 1 randomized-search-cross-validation 1 ploynomialregression 1 logistic-regression 1 knn 1 handling-imbalanced-data 1 elasticnetregression 1 elasticnet-regression 1 decision-tree-regression 1 decision-tree-classifier 1 dbscan-clustering-algorithm 1 dbscan-clustering 1 classification-algorithm 1 arima-model 1 agglomerative-clustering 1 kfold-cross-validation 1 get-dummies 1 featureengineering 1 unsupervised-machine-learning 1 decision-trees 1 adasyn 1 jupyter-notebook 1 collaborate 1 biogeography-based-optimization 1 tcgpr 1 outlier-identifying 1 ggmf 1 abnormal-detection 1 tree-based-models 1 tabular-data 1 synthetic-dataset-generation 1 up-for-grabs 1 model-selection 1 looking-for-contributors 1 hyperparameters 1 hyperparameter-optimization 1 help-wanted 1 goodfirstissue 1 good-first-issue 1 evolutionary-algorithms 1 deap 1 contributions-welcome 1 begginer-friendly 1 automl 1 artificial-intelligence 1 exploratory-data-analysis 1 data-mining 1 standardization 1 normalization 1 missingdata 1 featurescaling 1 xgboost 1 streamlit 1 pycaret 1 multiclassclassificatio 1 lstm 1 hereichal 1