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Scala Machine Learning Projects

You're reading from   Scala Machine Learning Projects Build real-world machine learning and deep learning projects with Scala

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788479042
Length 470 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (13) Chapters Close

Preface 1. Analyzing Insurance Severity Claims 2. Analyzing and Predicting Telecommunication Churn FREE CHAPTER 3. High Frequency Bitcoin Price Prediction from Historical and Live Data 4. Population-Scale Clustering and Ethnicity Prediction 5. Topic Modeling - A Better Insight into Large-Scale Texts 6. Developing Model-based Movie Recommendation Engines 7. Options Trading Using Q-learning and Scala Play Framework 8. Clients Subscription Assessment for Bank Telemarketing using Deep Neural Networks 9. Fraud Analytics Using Autoencoders and Anomaly Detection 10. Human Activity Recognition using Recurrent Neural Networks 11. Image Classification using Convolutional Neural Networks 12. Other Books You May Enjoy

1000 Genomes Projects dataset description

The data from the 1000 Genomes project is a very large catalog of human genetic variants. The project aims to determine genetic variants with frequencies higher than 1% in the populations studied. The data has been made openly available and freely accessible through public data repositories to scientists worldwide. Also, the data from the 1000 Genomes project is widely used to screen variants discovered in exome data from individuals with genetic disorders and in cancer genome projects.

The genotype dataset in Variant Call Format (VCF) provides the data of human individuals (that is, samples) and their genetic variants, and in addition, the global allele frequencies as well as the ones for the super populations. The data denotes the population's region for each sample which is used for the predicted category in our approach. Specific...

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