recursive-feature-elimination

There are 0 repository under recursive-feature-elimination topic.

ing-bank / probatus
Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
binary-classifiers data-analysis data-science feature-elimination machine-learning multi-class-classification recursive-feature-elimination regressors shap statistics tree-model
Language:Python 125
roshansridhar / Multimodal-Sentiment-Analysis
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
bag-of-words classification-report count-vectorizer cross-validation data-cleaning logistic-regression machine-translation mosi moud multimodal-sentiment-analysis nltk openear openface pandas recursive-feature-elimination sparse-matrix svm tf-idf utterance
Language:Jupyter Notebook 30
vikrantarora25 / Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
regression regression-analysis regression-models linear-regression regression-algorithms cross-validation kfold-cross-validation recursive-algorithm recursive-feature-elimination rfe seaborn machine-learning data-science matplotlib outlier-detection outlier-removal sklearn scikit-learn python price-prediction
Language:Jupyter Notebook 29
mlr3fselect
mlr-org / mlr3fselect
Feature selection package of the mlr3 ecosystem.
machine-learning r optimization feature-selection evolutionary-algorithms random-search exhaustive-search recursive-feature-elimination sequential-feature-selection mlr3 r-package
Language:R 19
elsheikh21 / malware-analysis
using Drebin dataset to distinguish between malwares and not malwares
dataset extra-trees machine-learning machine-learning-algorithms malware performance-metrics python3 random-forest recursive-feature-elimination sklearn support-vector-machines
Language:Jupyter Notebook 13
ashomah / HR-Analytics
HR Analytics Dataset
hr human-resources logistic-regression machine-learning python recursive-feature-elimination rfe smote
Language:Python 9
imharshag / NIDS-using-ML
This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
datamining ensemble-learning gaussian-naive-bayes knn label-encoding network-intrusion-detection nsl-kdd one-hot-encoding principal-component-analysis random-forest recursive-feature-elimination svm voting-classifier xgboost matplotlib python sklearn
Language:Jupyter Notebook 6
jacobstac / Bachelors-Thesis-Detection-of-Sleep-Apnea
Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)
psg-data ann svm extracted-features eeg-analysis eeg-classification eeg-signals-processing python3 polysomnography-data feature-extraction feature-selection covariance-matrix recursive-feature-elimination auc auc-roc-curve auc-roc-score
Language:Python 4
Tejindersingh1 / Tumor-Prediction-with-ML
Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
meta-dataset machine-learning-classifiers gene-expressions t-test svm logistic-regression gaussian-processes microarray-data python cancer-genomics cancer-prediction recursive-feature-elimination sklearn-classifier
Language:Python 4
ashomah / King-County-House-Sales
King County House Sales
dbscan house-price-prediction lasso lasso-regression linear-regression machine-learning r random-forest recursive-feature-elimination rfe shiny xgboost
Language:R 3
Vishal1999-33 / Logistic-Regression
The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).
machine-learning logistic-regression smote recursive-feature-elimination receiver-operating-characteristic
Language:Jupyter Notebook 3
alejo1630 / grades_college_analysis
A Jupyter Notebook with the analysis and prediction of Final Grades (Pass/Fail) for students of mechatronics engineering in several mechanic courses.
binary-classification college-grade cross-validation data-visualization exploratory-data-analysis feature-engineering jupyter-notebook recursive-feature-elimination regression-models
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
Arun-V-S / LR-CarPredictors
ml-ai-assignments linear-regression recursive-feature-elimination car-model
Language:Jupyter Notebook 1
ashomah / Bike-Sharing-in-Washington-DC
Bike Sharing in Washington D.C.
bike bike-share bike-sharing linear-regression machine-learning python recursive-feature-elimination rfe
Language:Python 1
chinmayeeguru / Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
homoscedasticity linear-regression minmaxscalar modelbuilding multicollinearity normaldistribution recursive-feature-elimination residual-analysis train-test-split
Language:Jupyter Notebook 1
Harshraj1301 / Meijer---Real-Estate-Predictive-Model
Developed a predictive real estate model leveraging XG Boost Regressor, integrating web-scraped market data with existing datasets to forecast daily store visits, achieving a MAPE of 13.3%, enabling strategic retail location decisions
azure-api geocode-api google-maps-api gridsearchcv overpass-api powerbi recursive-feature-elimination sentiment-analysis serpapi web-scraping xgboost-regression recurrent-feature
Language:Jupyter Notebook 1
MatthewCSC / 2021-Dengue-Fever-Prediction-Time-Series-
This repository contains the notebook used for the Spring 2021 Kaggle Dengue Fever Prediction Competition. Placement was in the top 10% with a MAE of 24.86. Our best approach involved Random Forest Regression on a reduced featureset selected with Recursive Feature Elimination in combination with correlation with the target (number of dengue cases).
dengue-fever time-series-analysis randomforest-regression recursive-feature-elimination
Language:Jupyter Notebook 1
mohan-aditya05 / churn_modelling
Case Study for Churn Modelling in a NGO
data-science machine-learning data-analysis churn-prediction random-forest recursive-feature-elimination
Language:Jupyter Notebook 1
mohan-aditya05 / credit_card_spend_regression
random-forest recursive-feature-elimination credit-card-payments regression factor-analysis data-science data-analysis anova pearson seaborn
Language:Jupyter Notebook 1
raghavm23 / Analyzing-Student-Performance-Using-Data-Mining-Techniques
Through this research, we are able to model a student’s final grade in a particular subject and link it directly to certain relevant features that influence the outcome. We use the C5.0 decision tree technique to model the data.
crm decision-tree c50 recursive-feature-elimination predictive-modeling random-forest
Language:R 1
ryanquinnnelson / CMU-02718-Biomarker-Discovery-using-ML
Fall 2020 - Computational Medicine - course project
biomarker-discovery immunological-data machine-learning anova mutual-information svm kmeans-clustering recursive-feature-elimination random-forest-classifier
Language:Jupyter Notebook 1
sakusuma / CarPricePrediction
A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts. They have contracted an automobile consulting company to understand the factors on which the pricing of cars depends. Specifically, they want to understand the factors affecting the pricing of cars in the American market, since those may be very different from the Chinese market. The company wants to know: Which variables are significant in predicting the price of a car How well those variables describe the price of a car Based on various market surveys, the consulting firm has gathered a large dataset of different types of cars across the Americal market.
linear-regression rfe recursive-feature-elimination
Language:Jupyter Notebook 1
vaitybharati / Feature-Engg
Feature-Engg
python feature-engg recursive-feature-elimination univariate-feature-selection decision-tree-classifier feature-extraction
Language:Jupyter Notebook 1
weiwei1988 / Resampled-validation-and-feature-selection-
Extended cross validation, feature selection methods for imbalanced data analysis
imbalanced-learning feature-selection cross-validation scikit-learn recursive-feature-elimination
Language:Jupyter Notebook 1
El-Bahnasawi / Analyzing-U.S.-Crime-Data
gradient-boosting-classifier hypothesis-testing linear-regression pca-analysis plotly random-forest-classifier umap recursive-feature-elimination variance-inflation-factor feature-selection
Language:Jupyter Notebook 0
Haripprasath-M / Customer_Churn_Analysis_and_Predictions
This project predicts customer churn using machine learning. It involves data cleaning, EDA, feature engineering, and model evaluation. AdaBoostClassifier with SMOTE was optimized using GridSearchCV and validated with ROC analysis.
classification-models customer-churn data-cleaning data-science exploratory-data-analysis feature-engineering gridsearchcv hyperparameter-tuning machine-learning model-evaluation predictive-analytics principal-component-analysis python recursive-feature-elimination smote
Language:Jupyter Notebook 0
now-youre-gittin-it / attrition-analysis
Predict the attrition (Yes/No) of employees, identify factors significantly impacting it, and finally state recommendations on how to mitigate the attrition.
classification-algorithm feature-importance logistic-regression plotly-python random-forest-classifier recursive-feature-elimination
Language:Jupyter Notebook 0
RimTouny / Feature-Selection
Delved into advanced techniques to enhance ML performance during the uOttawa 2023 ML course. This repository offers Python implementations of Naïve Bayes (NB) and K-Nearest Neighbor (KNN) classifiers on the MCS dataset.
auto-encoder bernoulli-naive-bayes chi-square dimensionality-reduction feature-selection information-gain knn-classification mutual-information pca tsne-visualization variance-threshold forward-feature-elimination wrapper-selection recursive-feature-elimination back-feature-elimination machine-learning
Language:Jupyter Notebook 0
Sharanya-Hegde / Lead-Score-Logistic-Regression-
First project implementing Logistic Regression
logistic-regression python exploratory-data-analysis feature-scaling outlier-detection outlier-removal recursive-feature-elimination sklearn statsmodels variance-inflation-factor
Language:Jupyter Notebook 0
SHOCKWAVE07 / AirPressureSystemFailure
The goal of this project is to develop a predictive model that accurately detects failures in the Air Pressure System (APS) of heavy Scania trucks. The APS is responsible for generating pressurized air used in various functions of the truck, such as braking and gear changes. By detecting failures in the APS system.
iterative-imputer random-forest-classifier recursive-feature-elimination
Language:Jupyter Notebook 0
tomartushar / Credit-Card-Fraud-Detection
An ensemble of machine learning models for detecting fraudulent credit card transactions, utilizing advanced techniques for feature selection, data imbalance handling, and hyperparameter tuning.
clustercentroids credit-card-fraud decision-tree-classifier logistic-regression machine-learning random-forest-classifier recursive-feature-elimination sampling-methods smote-sampling smoteenn xgboost-classifier bivariate-analysis exploratory-data-analysis t-test univariate-analysis
Language:Jupyter Notebook 0
garimagupta123 / LeadScore_LogisticRegression_Assignment
Logistic regression model build on lead score data to score leads on the basis of their probability of conversion.
jupiter-notebook logistic-regression matplotlib numpy pandas recursive-feature-elimination rescaling seaborn sklearn statsmodels variance-inflation-factor
Language:Jupyter Notebook
heet-shahh / Uber-Data-Analysis
Unlocking Insights and Accurate Price Predictions for Uber Rides through Extensive Data Analysis.
data-analysis data-science data-visualisation exploratory-data-analysis machine-learning matplotlib pandas python recursive-feature-elimination scikit-learn seaborn
Language:Jupyter Notebook
larenwell / ai-ml-rfe-optuna-ferreyros-challenge
At ferreyros, prioritizing sales opportunities for spare parts and services allows them to provide the best service to customers who need it most. This challenge is to use historical opportunity data to estimate the probability of closing new opportunities.
r2-score priorization-auc optuna recursive-feature-elimination roc-auc-curve
Language:Jupyter Notebook
martinktay / cardiovascular-disease-classification-algorithms
The research aims to harness machine learning for predicting cardiovascular diseases based on numerous risk factors, addressing the high fatality rates associated with cardiovascular conditions.
decision-trees hyperparameter-tuning logistic-regression python3 recursive-feature-elimination smote-oversampling smote-sampling support-vector-machine
Language:Jupyter Notebook

recursive-feature-elimination

ing-bank / probatus

roshansridhar / Multimodal-Sentiment-Analysis

vikrantarora25 / Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-

mlr-org / mlr3fselect

elsheikh21 / malware-analysis

ashomah / HR-Analytics

imharshag / NIDS-using-ML

jacobstac / Bachelors-Thesis-Detection-of-Sleep-Apnea

Tejindersingh1 / Tumor-Prediction-with-ML

ashomah / King-County-House-Sales

Vishal1999-33 / Logistic-Regression

alejo1630 / grades_college_analysis

SrinathMurali96 / Heart_Attack_Prediction-Using_Feature-Selection_Algorithm

Arun-V-S / LR-CarPredictors

ashomah / Bike-Sharing-in-Washington-DC

chinmayeeguru / Bike-Sharing-Linear-Regression-Model

Harshraj1301 / Meijer---Real-Estate-Predictive-Model

MatthewCSC / 2021-Dengue-Fever-Prediction-Time-Series-

mohan-aditya05 / churn_modelling

mohan-aditya05 / credit_card_spend_regression

raghavm23 / Analyzing-Student-Performance-Using-Data-Mining-Techniques

ryanquinnnelson / CMU-02718-Biomarker-Discovery-using-ML

sakusuma / CarPricePrediction

vaitybharati / Feature-Engg

weiwei1988 / Resampled-validation-and-feature-selection-

El-Bahnasawi / Analyzing-U.S.-Crime-Data

Haripprasath-M / Customer_Churn_Analysis_and_Predictions

now-youre-gittin-it / attrition-analysis

RimTouny / Feature-Selection

Sharanya-Hegde / Lead-Score-Logistic-Regression-

SHOCKWAVE07 / AirPressureSystemFailure

tomartushar / Credit-Card-Fraud-Detection

garimagupta123 / LeadScore_LogisticRegression_Assignment

heet-shahh / Uber-Data-Analysis

larenwell / ai-ml-rfe-optuna-ferreyros-challenge

martinktay / cardiovascular-disease-classification-algorithms