This is the unofficial code repository for the book "Mastering Java for Data Science" by Alexey Grigorev (i.e. me). The official repository is located here, but might not contain the most recent updates.
This repository contains the code examples for the following chapters:
- Chapter 02: Data Processing Toolbox
- Chapter 03: Exploratory Data Analysis
- Chapter 04: Supervised Learning - Classification and Regression
- Chapter 05: Unsupervised Learning - Clustering and Dimensionality Reduction
- Chapter 06: Working with Text - Natural Language Processing and Information Retrieval
- Chapter 07: Extreme Gradient Boosting
- Chapter 08: Deep Learning with DeepLearning4J
- Chapter 09: Scaling Data Science
- Chapter 10: Deploying Data Science Models
The code might be a bit messy - please let me know (by creating an issue) if something is not clear, I'll be happy to assist.