<prompt> Hlophisa mekhoa e latelang ea ho ithuta ka mochini: Baahelani ba K-Haufi le Bokamoso le Linear Regressionnan  <response>: Instruction in English: Classify the following machine learning techniques: K-Nearest Neighbours and Linear Regression . Response in English: K-Nearest Neighbors KNN is a type of instance-based learning or also known as a lazy learning algorithm. It is a type of supervised learning that can be used for both classification and regression tasks.Linear Regression, on the other hand, is a type of parametric algorithm used for predictive modeling. It is also a supervised learning algorithm used for regression tasks, where the goal is to predict a continuous outcome variable based on one or more predictor variables. . Response in Sesotho: Baahelani ba K-Nearest KNN ke mofuta oa ho ithuta o ipapisitseng le mehlala kapa o tsejoang hape e le algorithm ea botsoa. Ke mofuta oa thuto e hlokometsoeng e ka sebelisoang bakeng sa mesebetsi ea lihlopha le tsa ho khutlela morao. Linear Regression, ka lehlakoreng le leng, ke mofuta oa algorithm ea parametric e sebelisetsoang ho etsa mohlala oa ho bolela esale pele. Hape ke algorithm ea ho ithuta e laoloang e sebelisoang bakeng sa mesebetsi ea ho khutlela morao, moo sepheo e leng ho bolela esale pele phetoho e tsoelang pele ea sephetho ho latela mefuta e le ngoe kapa tse ngata tse bolelang esale pele. 