Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Getting and Cleaning Data Course: Human Activity Recognition Using Smartphones Dataset Project repo: date created 51224
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Updated
Jan 14, 2016 - R
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Getting and Cleaning Data Course: Human Activity Recognition Using Smartphones Dataset Project repo: date created 51224
Regression detection in time series data
Fast and simple statistics on the command line.
Easy node.js online mean, variance and standard deviation library.
This project is based on the Udacity course: Intro to Descriptive Statistics.
Machine learning functions written in goLang:
Average and Standard Deviation written in Prolog
Normalize a sample drawn from different populations and convert into a Z-score
Compare the means of two groups (male & female) body temparatures
Statistical Analysis is used to determine if race plays an important role in callback rates (from recruiters)
Used statistical measures to determine if the rate of re admissions for hospitals are high, if yes, what steps can be taken to bring the rate down.
Simple tool for estimating frequencies of random variables.
In this project we will work with a real Candy Crush data set and use this data to estimate level difficulty.
mic_py : Python 3 code for successful use of microphone on windows. stdev_ema.py : Python 3 code for calculation of standard deviation and exponential moving average of stock data.
Классы для статистической обработки данных.
Small javascript / nodejs module to calculate the standard deviation
I will include two ways of t tests that compare conversion rate and click through rate of two groups
Similar image retrieval using distance measure coded in MATLAB
R file that looks at standard error, confidence intervals, and t-tests in a data set.
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