Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Regression Models Course: Motor Trend Project repo: date created 61229
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Updated
Dec 29, 2016 - HTML
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Regression Models Course: Motor Trend Project repo: date created 61229
Explore and Summarize Wine Data
White Wine Exploratory Analysis
This project is open-ended in that we are not looking for one right answer. As John Tukey stated, "The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data." We want you to ask interesting questions about data and give you a chance to explore.
A presentation of my exploratory data visualization results with univariate, bivariate, and multivariate features.
Reuseability, multivariate analysis, computational chemistry, Rmarkdown
This repository contains all the projects and laboratory works carried out during the courses studied during the MSc in Statistics and Machine Learning at Linköping University.
A complete Data Visualization tutorial using Seaborn and Matplotlib
Tutorials on Visualizing Multivariate Linear Models in R
Udacity Data Analyst Nanodegree - Project V
This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"
Udacity Data Analyst Nanodegree Project 5 (Data Visualization)
Comprehensive Statistical and Multivariate Analysis through Principal Component and Factor Analysis methods using SAS. Applied estimation, hypothesis testing, and dimension reduction techniques as parts of this study.
Performed an exploratory data analysis using python and presented explanatory plots that convey insights of data.
Explanatory/Exploratory Data Analysis on Ford-bike data-set
The material in support of the UWC BCB R workshops.
Exploring and visualizing the loans data from Prosper from Quarter 4 of 2005 to Quarter 1 of 2014 in the USA. This will include communicating findings from univariate , bivariate and multivariate exploration.
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