Clustering on the World Happiness Report 2019
Attempting to quantify happiness. Building clustering models on the 2019 World happiness report.
Notebooks
python
Tags: AffinityPropagation, Agglomerative, clustering, GMM, happiness, KMeans, python
Model Interpretability with XGBoost and the Agaricus Dataset
What to do when things go too well. Building and comparing XGBoost and Random Forest models on the Agaricus dataset (Mushroom Database).
Tags: agaricus, LIME, python, SHAP, synthetic
Dimensionality Reduction and Feature Analysis
2016 Kaggle Caravan Insurance Challenge (Part 2 of 2). Dimensionality reduction and feature analysis.
Tags: dimensionalityReduction, featureImportance, featureSelection, PCA, python, RFE, t-SNE, UMAP, unbalanced
Modeling on Imbalanced Data: Caravan Insurance
2016 Kaggle Caravan Insurance Challenge (Part 1 of 2). Dealing with imbalanced data.
Tags: Bagging, Boosting, imbalanced, oversampling, python, RandomForest, SMOTE, undersampling
Multiple Linear Regression
Getting started with modeling. Multiple approaches to Multiple Linear Regression using the US DoT airfare dataset.
Tags: airfare, linear, python, regression
T-tests and Analysis of Variance (ANOVA)
Analyzing a mock voters dataset using ANOVA, T-tests, and Turkey’s Range Test.
Tags: ANOVA, python, statistics, ttests, voting
Plotting Distributions
Plotting a few common statistical functions, namely: PDF, CDF, and iCDF
Tags: functions, plotting, probability, python, statistics
Introduction: Fortune 500 Companies
A brief introduction to data analysis with Python using the fortune 500 dataset.
Tags: EDA, fortune500, introduction, python
r
Multiple Linear Regression
Getting started with modeling. Multiple approaches to Multiple Linear Regression using the classic Boston Housing dataset
Tags: airfare, linear, regression, r
Statistical Power
Analyzing the classic sleep dataset using, two-sample and paired t-tests, and calculating statistical power.
Tags: power, r, sleep, statistics, ttests
Plotting Distributions
Plotting a few common statistical functions, namely: PDF, CDF, and iCDF
Tags: functions, plotting, probability, r, statistics
Gradient Boosting with XGBoost and the Agaricus Dataset
What to do when things go too well. Building and comparing XGBoost and Random Forest models on the Agaricus dataset (Mushroom Database).
Tags: agaricus, RandomForest, r, synthetic, XGBoost
Clustering on the World Happiness Report 2016
Attempting to quantify happiness. Building clustering models on the 2016 World happiness report.
Tags: AffinityPropagation, Agglomerative, clustering, GMM, happiness, KMeans, r
Dimensionality Reduction and Feature Analysis
2016 Kaggle Caravan Insurance Challenge (Part 2 of 2). Dimensionality reduction and feature analysis.
Tags: dimensionalityReduction, featureSelection, PCA, RFE, r, t-SNE, UMAP, unbalanced
Multi-Model Approach to Imbalanced Data with Caravan Dataset
2016 Kaggle Caravan Insurance Challenge (Part 1 of 2). Dealing with imbalanced data.
Tags: Bagging, Boosting, imbalanced, oversampling, RandomForest, r, SMOTE, undersampling
Introduction: Fortune 500 Companies R
A brief introduction to data analysis with R using the fortune 500 dataset.
Tags: EDA, fortune500, introduction, r