In your project, you need to apply different ML techniques using WEKA and write a comprehensive report including an abstract, introduction, related work, experiment, and conclusion.

ASSIGNMENT

Conduct machine learning techniques using Weka. The premise of the project must be closely related to some aspect of the material such as Logistic Regression or K-Nearest neighbors or Decision trees, Naive Bayes, etc.

There are some interesting datasets available on the UCI repository (https://archive.ics.uci.edu/ml/index.php) that you can use for your research project.

In your project, you need to apply different ML techniques using WEKA and write a comprehensive report including an abstract, introduction, related work, experiment, and conclusion.
In the experiment section of your report, you are required to use tables and/or graphs/charts to show the results of your experiment and discuss them.