Learn how to use test data sets properly in Weka.
Resume Transcript Auto-Scroll
Author
Jungwoo Ryoo
Released
8/30/2018
The explosion of data in recent years has made the field of data science—in which professionals work to glean insights from this abundant information—increasingly more vital. If you're looking to pursue a career or to work with experts in this rapidly-growing field, it's crucial that you familiarize yourself with the tools of the trade. In this course, instructor Jungwoo Ryoo helps to acquaint you with some of the most well-known data science tools in the areas of cloud computing, distributed file storage, distributed processing, and machine learning. Throughout this course, Jungwoo provides coverage of Proxmox, Hadoop, Spark, and Weka, discussing how to install and leverage each tool in your data science workflow. To wrap up, he explains how Hadoop, Spark, and Weka can work collaboratively to produce the best results.
Topics include:
- Enabling technologies in data science
- Cloud computing and virtualization
- Installing and working with Proxmox, Hadoop, Spark, and Weka
- Managing virtual machines on Proxmox
- Distributed processing with Spark
- Fundamental applications of machine learning
- Distributed systems and distributed processing
- How Hadoop, Spark, and Weka can work together
Skill Level Beginner
2h 23m
Duration
52,797
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Introduction
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Course organization1m 17s
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1. Introduction to Data Science
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Introduction1m 51s
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Data science2m 53s
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Fundamental skills3m 42s
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Enabling technologies2m 4s
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2. Cloud Computing
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Cloud fundamentals3m 29s
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Types of cloud3m 19s
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Solution providers2m 22s
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Proxmox: Installation2m 26s
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3. Distributed File Systems
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Distributed file systems2m 44s
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Fundamentals2m 45s
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Hadoop hands-on2m 8s
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Hadoop: Preparation4m 11s
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Hadoop: Installation4m 18s
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Hadoop: MapReduce hands-on8m 52s
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4. Distributed Processing
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Spark: Installation6m 24s
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Spark: Spark shell4m 28s
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Spark: pyspark4m 32s
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Spark: Application4m 1s
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5. Machine Learning
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Machine learning2m 41s
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Fundamentals2m 16s
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Types of machine learning2m 59s
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Weka: Installation2m 33s
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Weka: GUI3m 35s
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Weka: Training vs. testing3m 21s
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Weka: Clustering2m 12s
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6. Case Study
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Putting it all together2m 42s
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Hadoop cluster: Operation4m 57s
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Spark, YARN, and Hadoop6m 42s
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Weka and Spark3m 12s
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Conclusion
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Next steps41s
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Video: Weka: Training vs. testing