Python Exercise on kNN and PCA

This is the second Machine Learning with Python Exercise of the Introduction to Machine Learning MOOC on NPTEL. It teaches how to perform classification of Iris dataset and face recognition using Principal Components Analysis (PCA) and k - Nearest Neighbor Classifier of Scikit Learn.

Get the ipython notebook for the exercises here: https://github.com/Santara/ML-MOOC-NPTEL/blob/master/lecture2/ML-Anirban_Lecture2.ipynb

Topics covered are:
1. Classification of Iris flowers with k-NN Classification algorithm
2. Face recognition with PCA and k-NN Classification algorithm

Tutor: Anirban Santara, Google PhD Fellow, Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur. Homepage: http://santara.github.io

Course homepage: https://onlinecourses.nptel.ac.in/noc16_cs18/course

Видео Python Exercise on kNN and PCA канала Machine Learning- Sudeshna Sarkar