selectkbest

Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.

feature-selection selectkbest extratreesclassifier mutual-classif-info

UpdatedDec 21, 2020
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bhattbhavesh91 /selectkbest-from-scratch

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Implementing SelectKBest from Scratch for a Regression problem

scikit-learn regression feature-selection selectkbest

UpdatedMay 28, 2021
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rakibhhridoy /MachineLearning-FeatureSelection

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Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

machine-learning numpy scikit-learn pandas feature-selection pca logistic-regression lasso-regression gridsearchcv rfe rfecv selectkbest extratreesclassifier

UpdatedAug 18, 2020
Python

weichi21 /KNN-Model-Car-Price-Prediction

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Predictive modeling project by implementing KNN regression model.

python machine-learning scikit-learn data-transformation feature-extraction feature-engineering predictive-modeling knn-regression data-cleansing selectkbest

UpdatedMar 7, 2024
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sanketmaneDS /Decision_Tree

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This repository contains introductory notebooks for Decision tree

entropy cart decision-tree-classifier decision-tree-regression gini-index selectkbest

UpdatedNov 17, 2022
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SrinathMurali96 /Heart_Attack_Prediction-Using_Feature-Selection_Algorithm

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Heart Attack Prediction by implementing Feature Selection such as SelectKBest & Recursive Feature Elimination

recursive-feature-elimination selectkbest

UpdatedMay 30, 2021
Python

jeroenvansweeveldt /predicting_depression-machine_learning_exercise

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Data and code for a machine learning exercise in which I predict the development of depression.

machine-learning adaboost keras-tensorflow smote rfe selectkbest

UpdatedMay 6, 2024
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nani757 /Pipelines

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pipelines chains together multiple steps so that the output of each step is used as input to the next step

pipelines pickle cross-validation-score gridsearchcv decisiontreeclassifier columntransformer onehotencoder selectkbest simpleimputer minmaxscaler chi2 make-pipeline

UpdatedApr 24, 2022
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zoom2manoj /feature_selection

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correlation feature-selection chi2-distance selectkbest mutualinf extratreesclassifier

UpdatedAug 10, 2020
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carzynsky /Analytics-and-Data-mining

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etl naive-bayes-classifier pca logistic-regression mlp decision-tree svm-classifier ssis ssas random-forest-classifier knn-classifier rfe selectkbest smote-oversampler

UpdatedJan 31, 2022
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kapilrajnangare /Vehicle_loan_defaulter

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A financial institution wants to accurately predict the probability of loanee/borrower defaulting on a vehicle loan in the first EMI on the due date.

eda feature-selection logistic-regression confusion-matrix feature-engineering ols-regression decision-tree-classifier gradient-boosting xgboost-algorithm random-forest-classifier datacleaning datapreprocessing auc-roc-curve featureextraction selectkbest smote-sampling sgdclassifier

UpdatedJan 6, 2023
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Ola76 /Dairy_Goods_Sales_Database

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The Dairy Goods Sales Dataset provides a detailed and comprehensive collection of data related to dairy farms, dairy products, sales, and inventory management.

linear-regression eda feature-selection feature-engineering ridge-regression decision-tree-regression gridsearchcv random-forest-regression xgboost-regression selectkbest svr-regression-prediction