<prompt> Ho latela mohlala o latelang oa sete ea data, hlalosa moralo oa ho etsa likhakanyo.Lethathamo la lintlha le kenyelletsa litheko tsa matlo bakeng sa libaka tsa toropo e itseng.  <response>: Instruction in English: Given the following example of a data set, outline a plan for making predictions. . Response in English: To make predictions on the housing prices for neighborhoods in the given city, the following plan can be implemented:1. Exploratory Data Analysis: Start by exploring the dataset to understand the variables and their relationships. Generate summary statistics and visualize the data to identify trends, patterns or correlations in the housing prices among different neighborhoods.2. Data Preprocessing: Clean the data by handling missing, incorrect or inconsistent values. If needed, transform the data to make it ready for analysis.3. Feature Selection: Identify and select the most relevant features that can influence the prediction of housing prices. Features can include average household income, home size, the age of the house, crime rate, proximity to amenities, etc.4. Model Selection: Choose an appropriate prediction model. Some commonly used models for predicting housing prices are linear regression, decision trees, random forests, or neural networks. Split the data into a training set and testing set to train and evaluate the model.5. Training and Evaluation: Train the model on the training data and evaluate it on the testing data. Adjust the models hyperparameters if necessary to improve performance.6. Prediction: Once the model is ready, use it to make predictions on housing prices in different neighborhoods of the city. Continuously evaluate the models performance and update it when needed to ensure the accuracy of predictions. . Response in Sesotho: Ho etsa likhakanyo ka litheko tsa matlo bakeng sa baahisani ba toropo e fanoeng, moralo o latelang o ka kengoa tsebetsong: 1. Tlhahlobo ea Boitsebiso ba Tlhahlobo: Qala ka ho hlahloba datha ho utloisisa mefuta-futa le likamano tsa bona. Hlahisa lipalo-palo tse akaretsang me u bone lintlha ka mahlo a kelello ho tseba mekhoa, mekhoa kapa likamano tsa litheko tsa matlo hara libaka tse fapaneng. 2. Tlhahiso-pele ea Lintlha: Hloekisa lintlha ka ho sebetsana le litekanyetso tse sieo, tse fosahetseng kapa tse sa lumellaneng. Haeba ho hlokahala, fetola data ho etsa hore e lokele ho hlahlojoa. 3. Khetho ea Litšobotsi: Khetholla le ho khetha likarolo tse amehang ka ho fetisisa tse ka susumetsang ponelopele ea litheko tsa matlo. Likarolo li ka kenyelletsa - karolelano ea chelete e kenang ea lelapa, boholo ba ntlo, lilemo tsa ntlo, sekhahla sa botlokotsebe, ho ba haufi le litsebeletso, joalo-joalo. 4. Khetho ea Moetso: Khetha mofuta o nepahetseng oa ho bolela esale pele. Mefuta e meng e sebelisoang ho bolela esale pele litheko tsa matlo ke ho theoha ha mela, lifate tsa liqeto, meru e sa reroang, kapa marang-rang. Arola lintlha ho sete ea koetliso le sete ea liteko ho koetlisa le ho lekola mohlala. 5. Koetliso le Tlhahlobo: Koetlisa mohlala ka lintlha tsa koetliso le ho li hlahloba ka lintlha tsa tlhahlobo. Fetola li-hyperparameter tsa mohlala ha ho hlokahala ho ntlafatsa tsebetso. 6. Polelopele: Hang ha mohlala o se o lokile, o sebelise ho bolela esale pele ka litheko tsa matlo libakeng tse fapaneng tsa toropo. Kamehla hlahloba tsebetso ea mohlala me u e ntlafatse ha ho hlokahala ho netefatsa bonnete ba likhakanyo. 