Chi-Squared For Feature Selection using SelectKBest
-
Updated
May 28, 2021 - Jupyter Notebook
#
selectkbest
Here are 20 public repositories matching this topic...
Language: All
Filter by language
Sort: Most stars
Sort options
-
Updated
Apr 4, 2022 - Jupyter Notebook
With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.
math numpy sklearn pandas classification-report mlp-classifier accuracy-score standardscaler chi2-distance selectkbest labelencoder
-
Updated
Apr 21, 2021 - Jupyter Notebook
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.
-
Updated
Dec 21, 2020 - Jupyter Notebook
Implementing SelectKBest from Scratch for a Regression problem
-
Updated
May 28, 2021 - Jupyter Notebook
Heart Attack Prediction by implementing Feature Selection such as SelectKBest & Recursive Feature Elimination
-
Updated
May 30, 2021 - Python
This repository contains introductory notebooks for Decision tree
-
Updated
Nov 17, 2022 - Jupyter Notebook
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
-
Updated
Aug 18, 2020 - Python
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
-
Updated
Mar 7, 2024 - Jupyter Notebook
Data and code for a machine learning exercise in which I predict the development of depression.
-
Updated
May 6, 2024 - Jupyter Notebook
Este projeto é o resultado do meu Trabalho de Conclusão de Curso (TCC) para o curso de Bacharelado em Sistemas de Informação pelo Instituto Federal de Minas Gerais – Campus Sabará.
python data-science big-data clustering sklearn pandas feature-selection matplotlib kmeans datamining enem elbow-method selectkbest chi2
-
Updated
Jul 15, 2025 - Jupyter Notebook
machine-learning tensorflow linear-regression keras feature-selection neural-networks data-preprocessing hyperparameter-tuning normalization decision-tree-regressor price-prediction gridsearchcv random-forest-regression xgboost-regression hyperband used-cars-price-prediction imputation-methods one-hot-encoding selectkbest keras-tuner
-
Updated
Oct 23, 2024 - Jupyter Notebook
Machine Learning Techniques in Lung Cancer Prediction
exploratory-data-analysis machine-learning-algorithms feature-selection pca-analysis logistic-regression decision-trees knn-classification random-forest-classifier selectkbest
-
Updated
Apr 29, 2024 - Jupyter Notebook
Project Supervised Learning - Classification untuk memprediksi customer churn atau tidak berdasarkan dataset suatu perusahaan telekomunikasi.
classification one smote f1-score knn-classification random-forest-classifier roc-auc shap onehot-encoding xgboost-classifier selectkbest shap-values labelencoding
-
Updated
Jun 17, 2025 - Jupyter Notebook
Logistic Regression project for Banking Marketing Campaign.
-
Updated
Mar 14, 2024 - Jupyter Notebook
-
Updated
Aug 10, 2020 - Jupyter Notebook
etl naive-bayes-classifier pca logistic-regression mlp decision-tree svm-classifier ssis ssas random-forest-classifier knn-classifier rfe selectkbest smote-oversampler
-
Updated
Jan 31, 2022 - Jupyter Notebook
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
-
Updated
Aug 23, 2023 - Jupyter Notebook
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
-
Updated
Jan 6, 2023 - Jupyter Notebook
-
Updated
Sep 1, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the selectkbest topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the selectkbest topic, visit your repo's landing page and select "manage topics."