Media Summary: CODE:- import cv2,pandas,math,time count = 0 coorlist = [] coordict = {} coordict['x']=[] coordict['y']=[] def click_event(event, x, y, ... Here's a link to the Colab document for this Implemented Linear Discriminant Analysis(LDA), K- nearest neighbors(KNN), Support Vector Machine(SVM) models using
Python Lab Work Assignment 2 - Detailed Analysis & Overview
CODE:- import cv2,pandas,math,time count = 0 coorlist = [] coordict = {} coordict['x']=[] coordict['y']=[] def click_event(event, x, y, ... Here's a link to the Colab document for this Implemented Linear Discriminant Analysis(LDA), K- nearest neighbors(KNN), Support Vector Machine(SVM) models using
![[Python Programming Basics to Advanced]: Assignment Operator | Lab 02 P-2](https://i.ytimg.com/vi/SKM-UCjuFAY/mqdefault.jpg)
