Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

LSTM Model for Electric Load Forecasting

In this project, we investigate the electric generation necessary to support the demand resulting from human activities. To that end, we use a feature set comprising of the ambient conditions and u…

Building Controls Virtual Test Bed

Co-simulation between R(python or c/c++) and EnergyPlus through the BCVTB

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Web site for www.py4e.com and source to the Python 3.0 textbook

Programming with Python for Data Science Microsoft

VOLTTRON Distributed Control System Platform

Forecasting Project

University of Amsterdam

I have done my individual project (dissertation) on ensemble methods. In which I first did the background study on different ensemble methods and then implemented Boosting, AdaBoost, Bagging and ra…

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

In this Project I use the Kaggle Bike sharing dataset to predict the sales of bike given a Multivariate Time series. I model the multivariate data using ensemble of Random Forests and Gradient Boos…

A curated list of awesome Python frameworks, libraries and software

A curated list of awesome Python frameworks, libraries and software

Udacity's Machine Learning Nanodegree project files and notes.

GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.

Work on Introduction to Statistical Learning

Tensorflow tutorial from basic to hard

R interface to parsing and plotting Motion Capture ASF/AMC files

Advanced Statistical Applications and Computing in R

Advanced Statistical Applications and Computing in R

Teaching material for Summer Institute in Statistics for Big Data Module 1.

Materials for Module 2 of the SISBID Workshop, Visualization of Biomedical Big Data

My functions, code snippets and examples.

SDS385 Big Data with Prof. James Scott | Fall 2016