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Name: Robert Sneiderman
Type: User
Bio: Data Science and Machine Learning
Location: Canada
Robert Sneiderman's Projects
aliasmethod
Alias Method for sampling from a discrete distribution in R.
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.
bc-policy-framework-for-github
Policy information for BC Government employees using GitHub
cancerdata
A repo for code used to recreate results seen in The Elements of Statistical Learning
chestxray
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.
datasharing
The Leek group guide to data sharing
deeplearning
Code for Deep Learning Specialization
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.
exdata_plotting1
Plotting Assignment 1 for Exploratory Data Analysis
expectationmaximization
Repo for EM Algorithm
geneticalgorithm
Using the GA for model selection on a baseball dataset
learningsvm
Repo for practising with Support Vectors and Separating Hyperplanes
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.
practicalmachinelearning
Coursera practical machine learning
programmingassignment2
Repository for Programming Assignment 2 for R Programming on Coursera
programmingassignment3
Rep for Data Science, Programming Assignment on Tidy Data
repdata_peerassessment1
Peer Assessment 1 for Reproducible Research
saheartdisease
Repo for the famous SA Heart Disease dataset. We demonstrate the importance of considering non-linear terms, and using splines in R.
shinypractice
Basic Shiny web app
simplegames
Repo for collecting code of simple games
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.
tensorflow
An Open Source Machine Learning Framework for Everyone
titanic
Details on how to obtain a relatively high level of accuracy on Kaggle's "Titanic" Dataset.
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