Posts by Tag

ANOVA

• T-tests and Analysis of Variance (ANOVA)

AffinityPropagation

• Clustering on the World Happiness Report 2019
• Clustering on the World Happiness Report 2016

Agglomerative

• Clustering on the World Happiness Report 2019
• Clustering on the World Happiness Report 2016

Bagging

• Modeling on Imbalanced Data: Caravan Insurance
• Multi-Model Approach to Imbalanced Data with Caravan Dataset

Boosting

• Modeling on Imbalanced Data: Caravan Insurance
• Multi-Model Approach to Imbalanced Data with Caravan Dataset

EDA

• Introduction: Fortune 500 Companies
• Introduction: Fortune 500 Companies R

GMM

• Clustering on the World Happiness Report 2019
• Clustering on the World Happiness Report 2016

KMeans

• Clustering on the World Happiness Report 2019
• Clustering on the World Happiness Report 2016

LIME

• Model Interpretability with XGBoost and the Agaricus Dataset

PCA

• Dimensionality Reduction and Feature Analysis
• Dimensionality Reduction and Feature Analysis

RFE

• Dimensionality Reduction and Feature Analysis
• Dimensionality Reduction and Feature Analysis

RandomForest

• Modeling on Imbalanced Data: Caravan Insurance
• Multi-Model Approach to Imbalanced Data with Caravan Dataset
• Gradient Boosting with XGBoost and the Agaricus Dataset

SHAP

• Model Interpretability with XGBoost and the Agaricus Dataset

SMOTE

• Modeling on Imbalanced Data: Caravan Insurance
• Multi-Model Approach to Imbalanced Data with Caravan Dataset

UMAP

• Dimensionality Reduction and Feature Analysis
• Dimensionality Reduction and Feature Analysis

XGBoost

• Gradient Boosting with XGBoost and the Agaricus Dataset

agaricus

• Model Interpretability with XGBoost and the Agaricus Dataset
• Gradient Boosting with XGBoost and the Agaricus Dataset

airfare

• Multiple Linear Regression
• Multiple Linear Regression

clustering

• Clustering on the World Happiness Report 2019
• Clustering on the World Happiness Report 2016

dimensionalityReduction

• Dimensionality Reduction and Feature Analysis
• Dimensionality Reduction and Feature Analysis

featureImportance

• Dimensionality Reduction and Feature Analysis

featureSelection

• Dimensionality Reduction and Feature Analysis
• Dimensionality Reduction and Feature Analysis

fortune500

• Introduction: Fortune 500 Companies
• Introduction: Fortune 500 Companies R

functions

• Plotting Distributions
• Plotting Distributions

happiness

• Clustering on the World Happiness Report 2019
• Clustering on the World Happiness Report 2016

imbalanced

• Modeling on Imbalanced Data: Caravan Insurance
• Multi-Model Approach to Imbalanced Data with Caravan Dataset

introduction

• Introduction: Fortune 500 Companies
• Introduction: Fortune 500 Companies R

linear

• Multiple Linear Regression
• Multiple Linear Regression

oversampling

• Modeling on Imbalanced Data: Caravan Insurance
• Multi-Model Approach to Imbalanced Data with Caravan Dataset

plotting

• Plotting Distributions
• Plotting Distributions

power

• Statistical Power

probability

• Plotting Distributions
• Plotting Distributions

python

• Introduction: Fortune 500 Companies
• Plotting Distributions
• T-tests and Analysis of Variance (ANOVA)
• Multiple Linear Regression
• Modeling on Imbalanced Data: Caravan Insurance
• Dimensionality Reduction and Feature Analysis
• Model Interpretability with XGBoost and the Agaricus Dataset
• Clustering on the World Happiness Report 2019

r

• Introduction: Fortune 500 Companies R
• Multi-Model Approach to Imbalanced Data with Caravan Dataset
• Dimensionality Reduction and Feature Analysis
• Clustering on the World Happiness Report 2016
• Gradient Boosting with XGBoost and the Agaricus Dataset
• Plotting Distributions
• Statistical Power
• Multiple Linear Regression

regression

• Multiple Linear Regression
• Multiple Linear Regression

sleep

• Statistical Power

statistics

• Plotting Distributions
• T-tests and Analysis of Variance (ANOVA)
• Plotting Distributions
• Statistical Power

synthetic

• Model Interpretability with XGBoost and the Agaricus Dataset
• Gradient Boosting with XGBoost and the Agaricus Dataset

t-SNE

• Dimensionality Reduction and Feature Analysis
• Dimensionality Reduction and Feature Analysis

ttests

• T-tests and Analysis of Variance (ANOVA)
• Statistical Power

unbalanced

• Dimensionality Reduction and Feature Analysis
• Dimensionality Reduction and Feature Analysis

undersampling

• Modeling on Imbalanced Data: Caravan Insurance
• Multi-Model Approach to Imbalanced Data with Caravan Dataset

voting

• T-tests and Analysis of Variance (ANOVA)