Learn how to use the Weka graphical user interface to conduct a sample machine learning task.
- [Instructor] What you see here is the initial window…you get when you start your Weka program.…Let's click on the explorer button.…The preprocess tab shows up.…Now we're ready to run a test machine learning job…to have a good understanding of how Weka handles it.…Click on open file.…Double click downloads.…Double click Weka 3-8-2.…
Double click data.…And select weather.nominal.arff.…Click open.…As you can see, the dataset contains 14 records…whose attributes are outlook, temperature,…humidity, windy and play.…You can see the values of a particular attribute…when it's selected.…
For example, the attribute outlook…has three distinct labels,…sunny, overcast and rainy.…If you choose the temperature attribute…you see labels such as hot, mild and cold.…The frequencies of each of these labels appear…under count and their visualization shows up here.…
Our mission is to predict whether we can play a game…based on the weather information such as…outlook, temperature, humidity and windy.…This is a classification task because…
- 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
Course organization1m 17s
1. Introduction to Data Science
2. Cloud Computing
3. Distributed File Systems
4. Distributed Processing
5. Machine Learning
6. Case Study
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