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Final course project for Creating Data Products on Coursera
course project for Coursera "Getting and Cleaning Data"
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data Science Capstone Project NLP Processing
repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera
The Leek group guide to data sharing
Plotting Assignment 1 for Exploratory Data Analysis
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. Review criteria The submitted data set is tidy. The Github repo contains the required scripts. GitHub contains a code book that modifies and updates the available codebooks with the data to indicate all the variables and summaries calculated, along with units, and any other relevant information. The README that explains the analysis files is clear and understandable. The work submitted for this project is the work of the student who submitted it. Getting and Cleaning Data Course Project The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. You will be graded by your peers on a series of yes/no questions related to the project. You will be required to submit: 1) a tidy data set as described below, 2) a link to a Github repository with your script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md in the repo with your scripts. This repo explains how all of the scripts work and how they are connected. One of the most exciting areas in all of data science right now is wearable computing - see for example this article . Companies like Fitbit, Nike, and Jawbone Up are racing to develop the most advanced algorithms to attract new users. The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones Here are the data for the project: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip You should create one R script called run_analysis.R that does the following. Merges the training and the test sets to create one data set. Extracts only the measurements on the mean and standard deviation for each measurement. Uses descriptive activity names to name the activities in the data set Appropriately labels the data set with descriptive variable names. From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject. Good luck!
Code for the Modeling and Solving Linear Programming with R book
Application which predicts next word based on what was entered. Uses twits, blogs and newspapers corpora as a training set.
Week 4 Machine Learning JH
Repository for Programming Assignment 2 for R Programming on Coursera
Peer Assessment 1 for Reproducible Research
Code from the "Teach yourself Shiny" from shiny.rstudio.com
This is a test repo
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.