Machine Learning Projects with Java

Learn how to leverage well-proven ML algorithms to solve day-to-day ML problems.

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Created by Packt Publishing

Last updated 4/2019

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Description

Developers are worried about using various algorithms to solve different problems. This course is a perfect guide to identifying the best solution to efficiently build machine learning projects for different use cases to solve real-world problems.

In this course, you will learn how to build a model that takes complex feature vector form sensor data and classifies data points into classes with similar characteristics. Then you will predict the price of a house based on historical data. Finally, you will build a Deep Learning model that can guess personality traits using labeled data.

By the end of this course, you will have mastered each machine learning domain and will be able to build your own powerful projects at work.

What you'll learn

Perform classification using the Weka Library.
Implement Pattern Recognition of non-labeled data
Build Regression models for data with multiple features
Save trained models for further reusability
Learn how to perform cross-validation
Leverage Deep Learning in ML problems
Implement Natural Language Processing with Deep Learning

Requirements

This course will also appeal to someone who has a basic understanding of ML concepts but now wants to learn how to implement it with Java.

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Machine Learning Projects with Java