January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Dataset description
There are two sources that I would like to acknowledge. This dataset was used in a research paper published by Moro et al, A Data-Driven Approach to Predict the Success of Bank Telemarketing, Decision Support Systems, Elsevier, June 2014. Later on, it was donated to the UCI Machine Learning repository and can be downloaded from https://archive.ics.uci.edu/ml/datasets/bank+marketing. According to the dataset description, there are four datasets:
- bank-additional-full.csv: This includes all examples (41,188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed by Moro et al, 2014
- bank-additional.csv: This includes 10% of the examples (4,119), randomly selected from 1 and 20 inputs ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.