Programming 3 - kNN

Goal
- Learn to implement k-nearest neighbor classifier and radius-based nearest neighbor classifier.
- Improve performance by neighborhood size, and approximate nearest neighbors.
Readings
- Chapter 15 K-Nearest Neighbors, Machine Learning with Python Cookbook 2nd, Free O'Reilly Learning by FJU ID
Instructions
- Read the reading and practice all the Python codes with the IRIS dataset example.
- Exercise: Change the data to another Scikit-Learn toy dataset. Modify the Python codes to perform more analysis. Analyze the results of output, explain the results, and improve the results.
Report: a separate and single web page that you
- - Write the goal of this assignment
  - Explain the kNN algorithm. Explain the Scikit-Learn functions of kNN.
  - Explain the Python codes. Upload code output results into your report web page. Explain the results of the output results
  - Clearly explain modified code segments written by you. Give some analysis in your report.
  - Give references to this assignment (teacher's readings, your readings)
Submit the web address of your web page to Microsoft Teams.

Report abuse

Goal