Data modelling using WEKA and KNIME

I am trying to analyze the information from a dataset which has details of the accidents in UK that occurred between the years 2005 to 2014 and the amount of traffic on major roads during the same years. From the dataset available to me, I am trying to group certain attributes together like road-surface conditions, light conditions, weather conditions and special conditions to find any natural groupings and see how these conditions affect the accident rates and try to see how we can improve these rates. I am also trying to see if the changing traffic flow impacts accidents. I will attach the dataset files. and the link to kaggle ( thats where i found he datasets)

LINK: [login to view URL]

Skills: Data Mining, Data Processing, Data Science, SPSS Statistics, Statistical Analysis

See more: data modelling using php, data mining project using weka, data mysql using ajax, knime weka, knime tutorial, knime machine learning example, knime tool download, knime machine learning, knime predictive modeling, how to use knime tool, knime vs weka, scrap data website using aspnet, extracting data html using, fetch data site using curl php, data excel using cnet, data migration using php, example using data mysql using javascript php, serial wireless data transmission using at89c51 chip, data extraction using regex, data mining using aspnet

About the Employer:
( 7 reviews ) Kent, United States

Project ID: #16655892

3 freelancers are bidding on average $195 for this job


A proposal has not yet been provided

$222 USD in 3 days
(7 Reviews)

A proposal has not yet been provided

$333 USD in 5 days
(0 Reviews)
$30 USD in 10 days
(0 Reviews)