variance-inflation-factor

There are 0 repository under variance-inflation-factor topic.

sauhard2701 / Fraud-Transaction-Detection
INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
ai ai-ml artificial-intelligence decision-tree decision-tree-classifier decision-trees evaluation-metrics hold-out insaid insaid-assignment internship internship-task label-encoding machine-learning ml random-forest random-forest-classifier variance-inflation-factor vif
Language:Jupyter Notebook 17
hkalager / ML_AccountingFraud
This repository includes the scripts to replicate the results of my WORKING paper entitled "A Machine Learning Approach to Detect Accounting Frauds".
machine-learning accounting-fraud multilayer-perceptron adaptive-boosting-algorithm support-vector-machines financial-kernel logistic-regression stochastic stochastic-gradient-descent sensitivity-analysis variance-inflation-factor dataset
Language:Python 8
VivekSagarSingh / Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
ada-boost-classifier bagging-ensemble confusion-matrix gradient-boosting-classifier gridsearchcv heatmap iqr linear-discriminant-analysis-classifier logistic-regression multicollinearity numpy pandas-python precision-recall random-forest-classifier roc-auc-curve smote statsmodels variance-inflation-factor
Language:Jupyter Notebook 3
abduliante / vehicle-default-loan-prediction
Forecasting the likelihood of a customer defaulting their auto loan using classification models
classification feature-engineering feature-selection gridsearchcv knn-classification lasso-regression logistic-regression python variance-inflation-factor voting-classifier xgboost-classifier
Language:Python 2
rochitasundar / Regression-dynamic-price-prediction-ReCell
The objective is to build a ML-based solution (linear regression model) to develop a dynamic pricing strategy for used and refurbished smartphones, identifying factors that significantly influence it.
sklearn-library statsmodel scipy-stats linearregression variance-inflation-factor q-q-plot goldfeld-quandt
Language:Jupyter Notebook 2
marinafajardo / prevendo-customer-churn
Prevendo Customer Churn em Operadoras de Telecom
customer-churn binary-classification logistic-regression cross-validation linear-discriminant-analysis knn gaussian-naive-bayes cart svm-classifier accuracy auc variance-inflation-factor vif imbalanced-data normalization standardization exploratory-data-analysis grid-search-hyperparameters python machine-learning
Language:Jupyter Notebook 1
MoinDalvs / Learn_Multi_Linear_Regression
Prediction of Miles per gallon (MPG) Using Cars Dataset
multi-linear-regression data-science variance-inflation-factor feature feature-engineering feature-selection data-preprocessing correlation-matrix residual-analysis normality-test partial-least-squares-regression cooks-distance high-leverage outliers-detection outliers-influence i
Language:Jupyter Notebook 1
rochitasundar / Classification-booking-cancelation-prediction-StarHotels
The aim is to develop an ML- based predictive classification model (logistic regression & decision trees) to predict which hotel booking is likely to be canceled. This is done by analysing different attributes of customer's booking details. Being able to predict accurately in advance if a booking is likely to be canceled will help formulate profitable policies for cancelations & refunds.
logistic-regression sklearn-library statsmodels scipy-stats variance-inflation-factor chi-squared-test roc-auc-curve precision-recall decision-tree-classifier confusion-matrix grid-search-hyperparameters cost-complexity-pruning
Language:Jupyter Notebook 1
shanuhalli / Assignment-Multi-Linear-Regression
Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.
assignment-05 exploratory-data-analysis feature-engineering machine-learning model-selection multi-linear-regression outlier-detection regression scalling sklearn-metrics statmodels variance-inflation-factor
Language:Jupyter Notebook 1
DandiMahendris / regression-model-cac
Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.
anova-analysis regression-models t-test univariate-analysis variance-inflation-factor welch-t-test
Language:Jupyter Notebook 0
El-Bahnasawi / Analyzing-U.S.-Crime-Data
feature-selection gradient-boosting-classifier hypothesis-testing linear-regression pca-analysis plotly random-forest-classifier recursive-feature-elimination umap variance-inflation-factor
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 0
Haripprasath-M / Stock_Price_Prediction_Using_Machine_Learning
This project predicts stock price of Infosys using machine learning. It involves data collection, data preprocessing, feature engineering, model building, hyperparameter tuning and model evaluation.
data-preprocessing data-science feature-engineering hyperparameter-tuning machine-learning model-evaluation python stock-price-prediction technical-indicators yfinance variance-inflation-factor
Language:Jupyter Notebook 0
KasiMuthuveerappan / IVY_League-Admission-LinearRegression
📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.
elasticnet-regression lasso-regression linear-regression machine-learning mae matplotlib-pyplot mse numpy-pandas r2score ridge-regression scaling-methods scikitlearn-machine-learning scipy-stats seaborn statsmodels train-test-using-sklearn variance-inflation-factor
Language:Jupyter Notebook 0
madisongarccia / STAT330
R programming - Statistical Modelling II
linear-transformations logistic-regression variance-inflation-factor linearity-assumptions multi-variable-regression single-variable-regression
0
marinagrimal / INNHotels-Project
Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
auc-roc-curve data-visualization decision-tree decision-tree-classifier exploratory-data-analysis logistic-regression multicollinearity pruning threshold variance-inflation-factor
Language:Jupyter Notebook 0
NicholasDominic / Stochastic-VIF-ID-Rice-SNPs
By leveraging ensemble learning, this program can be used to analyze the Linkage Disequilibrium between SNPs in each Indonesian rice chromosomes. Developed using Python 3.9.12.
bootstraping ensemble-learning genomics linkage-disequilibrium machine-learning-algorithms multicollinearity python-3 single-nucleotide-polymorphisms stochastic-processes variance-inflation-factor
Language:Jupyter Notebook 0
Niteshchawla / Jamboree-LinearRegression
Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
lasso-regression linear-regression machine-learning mean-square-error ols-regression r2-score ridge-regression scaling-methods sklearn statsmodels train-test-using-sklearn variance-inflation-factor
Language:Jupyter Notebook 0
saikrishnabudi / Multi-Linear-Regression
Data Science - Multi Linear Regression Work
eda feature-engineering matplotlib model-selection multi-linear-regression numpy outlier-detection pandas python regression scaling sklearn-metrics statsmodels variance-inflation-factor
Language:Jupyter Notebook 0
SharadChoudhury / Bike-Sharing-prediction
Multiple Regression model building with Sklearn and statsmodels and analysis of relevant predictors using P-values and VIF
linear-regression pvalues sklearn statsmodels variance-inflation-factor
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
venkatesh-eranti / Housing_case-study
A real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc
housing-case-study regression recursive-feature-elimination variance-inflation-factor evaluation-metrics heteroscedasticity multicollinearity residuals
Language:Jupyter Notebook 0
aaravgupta626 / CollegeAdmissionsPrediction
Amidst the buzz of college applications, created a model to predict whether or not a student gets into a certain college based on wide range of features including test scores, univesity rankings, etc.
data-exploration-and-preprocessing multicollinearity multiple-linear-regression variance-inflation-factor
Language:Python
aneeshmurali-n / ML-Turbine-Energy-Yield-Prediction-for-Gas-Turbine-Optimization
This project uses machine learning to predict Turbine Energy Yield (TEY) from gas turbine data, optimizing settings to improve energy output, reduce fuel consumption, and cut costs. TEY predictions help detect deviations from normal operations, signaling potential turbine issues like degradation.
correlation-analysis data-analysis data-preprocessing data-transformation data-visualization energy feature-selection iqr-method linear-regression machine-learning ml model-building-and-evaluation outlier-detection pipeline prediction-model scaling turbine variance-inflation-factor yield zscore
Language:Jupyter Notebook
hanfei1986 / Dimension-reduction-by-dropping-high-VIF-features-recursively
This Jupyter notebook demonstrates a dimension reduction method by dropping high variance-inflation-factor (VIF) features recursively.
dimension-reduction machine-learning variance-inflation-factor
Language:Jupyter Notebook
Rakhi-TS22 / Insurance_Charges
Insurance charges calculation
iqr-method linear-regression variance-inflation-factor
Language:Jupyter Notebook

variance-inflation-factor

sauhard2701 / Fraud-Transaction-Detection

hkalager / ML_AccountingFraud

VivekSagarSingh / Probability-of-Credit-card-Default

abduliante / vehicle-default-loan-prediction

rochitasundar / Regression-dynamic-price-prediction-ReCell

marinafajardo / prevendo-customer-churn

MoinDalvs / Learn_Multi_Linear_Regression

rochitasundar / Classification-booking-cancelation-prediction-StarHotels

shanuhalli / Assignment-Multi-Linear-Regression

DandiMahendris / regression-model-cac

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

garimagupta123 / LeadScore_LogisticRegression_Assignment

Haripprasath-M / Stock_Price_Prediction_Using_Machine_Learning

KasiMuthuveerappan / IVY_League-Admission-LinearRegression

madisongarccia / STAT330

marinagrimal / INNHotels-Project

NicholasDominic / Stochastic-VIF-ID-Rice-SNPs

Niteshchawla / Jamboree-LinearRegression

saikrishnabudi / Multi-Linear-Regression

SharadChoudhury / Bike-Sharing-prediction

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

venkatesh-eranti / Housing_case-study

aaravgupta626 / CollegeAdmissionsPrediction

aneeshmurali-n / ML-Turbine-Energy-Yield-Prediction-for-Gas-Turbine-Optimization

hanfei1986 / Dimension-reduction-by-dropping-high-VIF-features-recursively

Rakhi-TS22 / Insurance_Charges