Pinned Repositories
d3.js-UTAustinCourse
Materials from Data Visualization and Infographics with D3 course taught by Alberto Cairo and Scott Murray
nvenkataraman1.github.io
quick-python-lessons
Python learning materials for a beginner-intermediate audience
RProgrammingWorkshop
Materials for the R Programming Workshop that I teach at The University of Chicago
RSeminar
Materials for the R Seminar
udemy-python
Materials from the Udemy Python for Data Analysis and Visualization MOOC
nvenkataraman1's Repositories
nvenkataraman1/RProgrammingWorkshop
Materials for the R Programming Workshop that I teach at The University of Chicago
nvenkataraman1/quick-python-lessons
Python learning materials for a beginner-intermediate audience
nvenkataraman1/RSeminar
Materials for the R Seminar
nvenkataraman1/d3.js-UTAustinCourse
Materials from Data Visualization and Infographics with D3 course taught by Alberto Cairo and Scott Murray
nvenkataraman1/nvenkataraman1.github.io
nvenkataraman1/udemy-python
Materials from the Udemy Python for Data Analysis and Visualization MOOC
nvenkataraman1/arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
nvenkataraman1/awesome-cryptoeconomics
An awesome curated list of Cryptoeconomic research and learning materials
nvenkataraman1/BuildingMachineLearningSystemsWithPython
Source Code for the book Building Machine Learning Systems with Python
nvenkataraman1/ChessData
PGN Mirror
nvenkataraman1/Customer-Analytics
Customer Analytics with R
nvenkataraman1/cyclingkaggle
Competition materials for EY Kaggle competition
nvenkataraman1/data-science-ipython-notebooks
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
nvenkataraman1/data-vis-d3
Code examples for “Data Visualization and Infographics with D3” course
nvenkataraman1/go
The Open Source Data Science Masters
nvenkataraman1/hands_on_julia
nvenkataraman1/interview
Everything you need to kick ass on your coding interview
nvenkataraman1/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
nvenkataraman1/JuliaProgrammingWorkshop
Materials for a Julia Programming workshop
nvenkataraman1/juliaprojects
nvenkataraman1/MScStatisticsNotes
These are cheat sheets and notes I made as part of an MSc in Statistics, at the University of Sheffield, UK.
nvenkataraman1/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
nvenkataraman1/Python-for-Probability-Statistics-and-Machine-Learning
Jupyter/IPython Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
nvenkataraman1/python-projects
Projects using Python
nvenkataraman1/PythonLearning
nvenkataraman1/rustlearning
Learning materials for rust
nvenkataraman1/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
nvenkataraman1/shinytutorials
Materials for learning Shiny
nvenkataraman1/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
nvenkataraman1/teamblue
Kaggle contest materials