selectkbest

There are 0 repository under selectkbest topic.

bhattbhavesh91 / chi-squared-feature-selection-selectkbest
Chi-Squared For Feature Selection using SelectKBest
chi-square-test chi-squared feature-selection selectkbest sklearn
Language:Jupyter Notebook 8
gulabpatel / Feature_Selection
constant correlation klib selectkbest extratreesregressor infogain featurewiz featureviz
Language:Jupyter Notebook 6
Manaliagarwal / Student-Alcohol-Consumption-Detection-
With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.
labelencoder standardscaler sklearn numpy pandas chi2-distance selectkbest mlp-classifier accuracy-score classification-report math
Language:Jupyter Notebook 4
Chandradithya8 / Feature_Selection
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.
selectkbest mutual-classif-info extratreesclassifier feature-selection
Language:Jupyter Notebook 3
bhattbhavesh91 / selectkbest-from-scratch
Implementing SelectKBest from Scratch for a Regression problem
selectkbest feature-selection scikit-learn regression
Language:Jupyter Notebook 2
SrinathMurali96 / Heart_Attack_Prediction-Using_Feature-Selection_Algorithm
Heart Attack Prediction by implementing Feature Selection such as SelectKBest & Recursive Feature Elimination
selectkbest recursive-feature-elimination
Language:Python 2
rakibhhridoy / MachineLearning-FeatureSelection
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.
feature-selection machine-learning scikit-learn selectkbest extratreesclassifier rfe rfecv gridsearchcv lasso-regression logistic-regression pca numpy pandas
Language:Python 1
sanketmaneDS / Decision_Tree
This repository contains introductory notebooks for Decision tree
cart decision-tree-classifier decision-tree-regression entropy gini-index selectkbest
Language:Jupyter Notebook 1
weichi21 / KNN-Model-Car-Price-Prediction
Predictive modeling project by implementing KNN regression model.
data-cleansing data-transformation feature-engineering feature-extraction knn-regression machine-learning predictive-modeling python scikit-learn selectkbest
Language:Jupyter Notebook 1
carzynsky / Analytics-and-Data-mining
ssis ssas etl mlp knn-classifier decision-tree svm-classifier naive-bayes-classifier random-forest-classifier logistic-regression smote-oversampler rfe pca selectkbest
Language:Jupyter Notebook 0
kapilrajnangare / Vehicle_loan_defaulter
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.
auc-roc-curve confusion-matrix datacleaning datapreprocessing decision-tree-classifier eda feature-engineering feature-selection featureextraction gradient-boosting logistic-regression ols-regression random-forest-classifier selectkbest sgdclassifier smote-sampling xgboost-algorithm
Language:Jupyter Notebook 0
Ola76 / Dairy_Goods_Sales_Database
The Dairy Goods Sales Dataset provides a detailed and comprehensive collection of data related to dairy farms, dairy products, sales, and inventory management.
decision-tree-regression eda feature-engineering feature-selection gridsearchcv linear-regression random-forest-regression ridge-regression selectkbest svr-regression-prediction xgboost-regression
Language:Jupyter Notebook 0
TayHuiYi / Lung_Cancer_Prediction
Machine Learning Techniques in Lung Cancer Prediction
decision-trees exploratory-data-analysis feature-selection knn-classification logistic-regression machine-learning-algorithms pca-analysis random-forest-classifier selectkbest
Language:Jupyter Notebook 0
dorianDraper / logistic-regression-project
Logistic Regression project for Banking Marketing Campaign.
chi2 eda feature-engineering logistic-regression selectkbest
Language:Jupyter Notebook
jeroenvansweeveldt / predicting_depression-machine_learning_exercise
Data and code for a machine learning exercise in which I predict the development of depression.
adaboost keras-tensorflow machine-learning rfe selectkbest smote
Language:Jupyter Notebook
nani757 / Pipelines
pipelines chains together multiple steps so that the output of each step is used as input to the next step
chi2 columntransformer cross-validation-score decisiontreeclassifier gridsearchcv minmaxscaler onehotencoder pickle pipelines selectkbest simpleimputer make-pipeline
Language:Jupyter Notebook
zoom2manoj / feature_selection
chi2-distance correlation extratreesclassifier feature-selection mutualinf selectkbest
Language:Jupyter Notebook

selectkbest

bhattbhavesh91 / chi-squared-feature-selection-selectkbest

gulabpatel / Feature_Selection

Manaliagarwal / Student-Alcohol-Consumption-Detection-

Chandradithya8 / Feature_Selection

bhattbhavesh91 / selectkbest-from-scratch

SrinathMurali96 / Heart_Attack_Prediction-Using_Feature-Selection_Algorithm

rakibhhridoy / MachineLearning-FeatureSelection

sanketmaneDS / Decision_Tree

weichi21 / KNN-Model-Car-Price-Prediction

carzynsky / Analytics-and-Data-mining

kapilrajnangare / Vehicle_loan_defaulter

Ola76 / Dairy_Goods_Sales_Database

TayHuiYi / Lung_Cancer_Prediction

dorianDraper / logistic-regression-project

jeroenvansweeveldt / predicting_depression-machine_learning_exercise

nani757 / Pipelines

zoom2manoj / feature_selection