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.