Pinned Repositories
2019_replication_HastingsPowell_1991
2019 Replication of Hastings & Powell (1991) Chaos in a Three-Species Food Chain
2048
A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)
2DayCourse
My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
2DayCourse_Exercises
3Blue1Brown.com
adv-r
Advanced R: a book
AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Cleaning_Data
Peer Assignment on Getting and Cleaning Data
ebooks
A collection of Mathematics + CS + what have you related books collected over the years for school 🎓 and personal reading 📚.
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
Arun-Kaushik's Repositories
Arun-Kaushik/2DayCourse
My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
Arun-Kaushik/2DayCourse_Exercises
Arun-Kaushik/Artificial-Intelligence
The repository contains lab assignments for a course in Artificial Intelligence. These assignments deal with Hidden Markov Models and Zero Sum Games.
Arun-Kaushik/asdfree
analyze survey data for free with the r language and monetdblite
Arun-Kaushik/BayesianTutorials
Implementing MCMC sampling from scratch in R for various Bayesian models
Arun-Kaushik/book
Arun-Kaushik/Books
Arun-Kaushik/BRFSS_explore
Exploring the BRFSS data
Arun-Kaushik/CapstoneCoursera
Data Science Specialization Coursera - Capstone Project
Arun-Kaushik/cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
Arun-Kaushik/Data-Analysis-with-Python-by-IBM-on-Coursera
Answer keys for course - Data Analysis with Python by IBM on Coursera
Arun-Kaushik/Datasets
Datasets powering the Open Data API
Arun-Kaushik/Github-Directories
My personal website
Arun-Kaushik/Heston-Option-Pricing
Monte Carlo pricing of the Heston model for stochastic volatility
Arun-Kaushik/IBM-Data-Analysis-with-Python
Arun-Kaushik/IS606Fall2015
IS606 - Statistics and Probability for Data Analysis - CUNY
Arun-Kaushik/labs-1
R Markdown files for labs used in the Statistics with R Specialization courses on Coursera
Arun-Kaushik/minibook-2nd-code
Code of the IPython Minibook, 2nd edition (2015)
Arun-Kaushik/modelselection
Tutorial on model assessment, model selection and inference after model selection
Arun-Kaushik/nonparametric-bayes
Non-parametric Bayesian Inference for Conservation Decisions
Arun-Kaushik/openintro-statistics-slides
Slides for the OpenIntro Statistics textbook
Arun-Kaushik/rafalab.github.io
web page
Arun-Kaushik/robots-homepage
Homepage on robots.ox.ac.uk
Arun-Kaushik/sta101-s16
Course materials for Sta 101 - Spring 2016 semester at Duke University
Arun-Kaushik/Statistical-Methods-in-Applied-Computer-Science
Solutions to Assignments about Statistical Methods in Applied Computer Science, dealing with Bayesian probability, Markov Chain Monte Carlo methods, Gibbs sampling, Metropolis Hastings and particle marginal Metropolis-Hastings.
Arun-Kaushik/statistics-manual
Elementary Statistics course that covers descriptive statistics, regression, probability and inferential statistics (confidence intervals and parametric test hypothesis).
Arun-Kaushik/statsr
Companion package for the Coursera Statistics with R specialization
Arun-Kaushik/tensorflow-examples
Arun-Kaushik/Using-Databases-with-Python
Course materials for University of Michigan Courser MOOC Using Databases with Python
Arun-Kaushik/Visuals
Random Visualizations