<prompt> Fana ka mehlala ea li-algorithms tse tharo tse sebelisitsoeng ho saense ea datanan  <response>: Instruction in English: Give examples of three algorithms used in data science . Response in English: 1. K-means clustering algorithm: This is a popular unsupervised machine learning algorithm that is used for clustering data into different groups based on their characteristics. It involves assigning each data point to a cluster such that the sum of squared distances between the data points and the clusters centroid is minimized. The algorithm iteratively updates the cluster assignments and the centroid positions until convergence.2. Decision Tree algorithm: This is a supervised machine learning algorithm used for both classification and regression problems. Decision trees work by recursively partitioning data into subsets based on the values of the input features. The algorithm selects the feature that results in the most homogeneous subsets and uses it to split the data. The process continues until all data points in a subset belong to the same class or the maximum tree depth is reached.3. Linear Regression algorithm: This is a supervised machine learning algorithm used for predicting continuous target variables. Linear regression assumes a linear relationship between the input features and the target variable. The algorithm estimates the coefficients of the linear equation that minimizes the sum of squared errors between the observed target values and the predicted values. These coefficients can then be used to make predictions on new data. . Response in Sesotho: 1. K-e bolela algorithm ea ho kopanya: Ena ke algorithm e tsebahalang ea ho ithuta mochini e sa laoleheng e sebelisetsoang ho kopanya lintlha ka lihlopha tse fapaneng ho latela litšobotsi tsa tsona. E kenyelletsa ho abela ntlha e ngoe le e ngoe ea data ho sehlopha e le hore kakaretso ea libaka tse nang le lisekoere lipakeng tsa lintlha tsa data le clusters centroid e fokotsoe. Algorithm e ntlafatsa khafetsa likabelo tsa sehlopha le maemo a bohareng ho fihlela li kopana. 2. Algorithm ea Sefate sa Qeto: Ena ke algorithm ea ho ithuta ka mochini e hlokometsoeng e sebelisetsoang mathata a ho hlopha le a ho khutla. Lifate tsa liqeto li sebetsa ka ho arola lintlha ka makhetlo ho li-subsets ho latela boleng ba likarolo tsa ho kenya. Algorithm e khetha karolo e hlahisang li-subsets tse fapaneng ka ho fetesisa ebe e e sebelisa ho arola data. Tsebetso e ntse e tsoela pele ho fihlela lintlha tsohle tsa data ka hara subset e le tsa sehlopha se le seng kapa botebo bo boholo ba sefate bo fihlile. 3. Algorithm ea Regression ea Linear: Ena ke algorithm ea ho ithuta ka mochini e hlokometsoeng e sebelisetsoang ho bolela esale pele mefuta e sa khaotseng ea sepheo. Linear regression e nka kamano ea mola lipakeng tsa likarolo tse kentsoeng le sepheo se fapaneng. Algorithm e hakanya li-coefficients tsa linear equation tse fokotsang kakaretso ea liphoso tse nang le lisekoere lipakeng tsa litekanyetso tse hlokometsoeng le tse boletsoeng esale pele. Li-coefficients tsena li ka sebelisoa ho etsa likhakanyo ho data e ncha. 