Robby955

Robert Sneiderman's repositories

CancerData

A repo for code used to recreate results seen in The Elements of Statistical Learning

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spam

Analysis of a Spam Dataset using statistical modelling. Model bagging and boosting are applied in R. We demonstrate the use of decision trees, random forests, and gradient boosting.

Language:R300

SAHeartDisease

Repo for the famous SA Heart Disease dataset. We demonstrate the importance of considering non-linear terms, and using splines in R.

Language:R200

AmesHousing

Code used for the Kaggle competition on the Ames Housing dataset. We use boosting and random forests , and combine models to form a final model. We also create an interactive heat map.

Language:R100

Working through the Kaggle Chest Xray dataset in Python and Keras/Tensorflow. We use Convolutional Neural Networks (CNN) to build our model. We also demonstrate how you can visualize inner layers of a neural network.

Language:Python1 20

EcoFish

This repo contains the R code used for analysis of EcoFish data used in my masters thesis. It also contains the files and images needed to recreate the thesis in latex.

Language:TeX100

Titanic

Details on how to obtain a relatively high level of accuracy on Kaggle's "Titanic" Dataset.

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MNIST

Neural Networks for obtaining high levels of accuracy in minimal code on the MNIST digit data and MNIST fashion dataset. We also utilize callbacks for early stopping.

Language:Python000