Daniel Emaasit's Projects
Practice assignment for the R programming class on Coursera
PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.
Learning probabilistic modeling in python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Programming Assignment 2: Lexical Scoping
Repository for Programming Assignment 2 for R Programming on Coursera
Learning data analysis with python
This repository contains the slides and notebooks for the bqplot talk at PyData NYC 2017
pymc-learn: Practical probabilistic machine learning in Python
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Hidden Markov models in PyMC3
Pre-release development of high-level probabilistic programming interface for TensorFlow
Learn the pyspark API through pictures and simple examples
Python Deliberate Practice
Randomized unit testing for R
Turning Programming Noobs to R Experts
The Official User-Guide to Plotly's R API and ggplotly
R for data science
Record Linkage in R
Recyclable Gaussian Processes
Peer Assessment 1 for Reproducible Research
This is a repository for my rmongodb code
This is the fourth programming assignment in R programming
RStan, the R interface to Stan
A cross-platform R package to run RStan in parallel
LaTeX Journal Article Templates for R Markdown
A modular, high performance, headless e-commerce storefront built with Python, GraphQL, Django, and ReactJS.