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Tag: Data Science

Data Science

Kaggle PUBG Competition Building a Model

Posted on November 22, 2018November 24, 2018 by justinmatters

Having completed our analysis for the Player Unknown Battlegrounds dataset from Kaggle we can now build a model. We can start by building a very…

Data Science

Kaggle PUBG Competition Data Analysis

Posted on November 19, 2018December 6, 2018 by justinmatters

Currently there is a fun competition running over on the Kaggle Data Science website. The objective is to use metrics from a large data set…

Data Science

Edinburgh Bike Open Data – 4 of 4 – Mapping the Data

Posted on October 11, 2018November 5, 2018 by justinmatters

We have visualised our data by counting station, but that is rather hard to put into context without knowing where our counting stations are located.…

Data Science

Edinburgh Bike Open Data – 3 of 4 – Data Visualisation

Posted on October 11, 2018November 5, 2018 by justinmatters

Now our dataset is nice and tidy we can move on with visualising it to see what insights we can draw. Lets start by looking…

Data Science

Edinburgh Bike Open Data – 2 of 4 – Data Cleaning

Posted on October 11, 2018December 6, 2018 by justinmatters

Now we have obtained our dataset from the Edinburgh Open Data store, we need to tidy it up and see if we need to transform…

Data Science

Edinburgh Bike Open Data – 1 of 4 – data acquisition

Posted on October 11, 2018December 6, 2018 by justinmatters

As a keen cyclist I thought I would take a look at Edinburgh Council’s Bike Counter dataset. The website states that “The dataset includes bike…

Data Science

The Danger of Missing Values in Data Sets

Posted on September 21, 2018October 11, 2018 by justinmatters

Missing values in data sets may not seem like too much of a problem at first glance. The rows can be ignored, average values can…

Data Science

Image Recognition 5 – Addenda – Assessing the Model

Posted on July 21, 2018September 21, 2018 by justinmatters

We obtained accuracy scores for our LEGO recogniser, but what if we want to go further and look at our model’s errors in more detail?…

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