The server for the "Framework for Indoor Positioning on Mobile Devices"
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Updated
Sep 12, 2012 - Java
The server for the "Framework for Indoor Positioning on Mobile Devices"
Expectation-Maximization Algorithm in Python.
Repository of R code for all lab exercises in the book "An Introduction to Statistical Learning"
Problem Sets for Data Science (CS209) Harvard Fall 2014
The Scythe Statistical Library is an open source C++ library for statistical computation, written by Daniel Pemstein (University of Mississippi and University of Illinois), Kevin M. Quinn (UC Berkeley), and Andrew D. Martin (University of Michigan).
Jackstraw Weighted Shrinkage Methods
R exercises for statistical data analysis class.
A Framework for Indoor Positioning on Mobile Devices
Thesis template with individual chapters as different Sweave/knitr
Regression Techniques in Python on Kaggle
Class notes and assignments for INF 397 with Prof Varun Rai
Computational Actuarial Science with R
PREDICTIVE FINANCIAL ANALYTICS is about using statistical learning in Finance. Daniel Saxton uses GAM models to analyze cash flows, and Mark Bennett demonstrates how to predict security prices using corporate income statements.
My Personal Machine Learning and Data Science Training Repository
Advanced Regression Techniques to predict housing prices.
Exploratory Data Analysis of the Stackexchange datasets using python
Jupyter notebooks with examples of statistical methods and analyses using R.
Records the keystroke timing data and creates a model. Applies learning algorithms and statistical models to differentiate between a valid user and an intruder
An R package that provides a structured learning environment to deliver tutorials covering various statistical learning techniques
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