<prompt> Bolela likarolo tse hlano tsa tšebetso ea mahlale a datanan  <response>: Instruction in English: Name five aspects of a data science process . Response in English: 1. Data gathering and preparation: This involves collecting data from various sources, cleaning it to remove inconsistencies, dealing with missing data, and transforming it into a usable format. It is one of the most time-consuming processes in data science.2. Exploratory Data Analysis: Once the data is gathered and prepped, it is analyzed to get insights, generate hypotheses, detect patterns, and discover hidden relationships between variables. This step includes creating visualizations, descriptive statistics, and feature engineering.3. Modeling: Based on the hypotheses generated in the previous step, a statistical, mathematical or machine learning model is created to test it. In this step, the data is split into a training and test dataset, and the model is trained and validated using various algorithms.4. Model Evaluation and Deployment: The performance of the model is evaluated using various metrics, such as accuracy, precision, recall, rmse, and auc. If the model performs well, it is deployed in production for practical use.5. Monitoring and Maintenance: The model once deployed is continuously monitored to track its performance and make sure it is meeting the required standards. It is also maintained by updating the data and retraining the model if needed. . Response in Sesotho: 1. Ho bokella le ho lokisa datha: Sena se kenyelletsa ho bokella lintlha ho tsoa mehloling e fapaneng, ho li hloekisa ho tlosa lintho tse sa tsitsang, ho sebetsana le lintlha tse sieo, le ho li fetola mokhoa o ka sebelisoang. Ke e ngoe ea mekhoa e jang nako e ngata ho saense ea data. 2. Tlhahlobo ea Boitsebiso: Hang ha lintlha li bokelloa me li lokiselitsoe esale pele, li hlahlojoa ho fumana lintlha, ho hlahisa maikutlo, ho lemoha mekhoa, le ho sibolla likamano tse patehileng pakeng tsa mefuta-futa. Mohato ona o kenyelletsa ho theha lipono, lipalo-palo tse hlalosang, le boenjiniere ba likarolo. 3. Mohlala: Ho ipapisitsoe le menahano e hlahisitsoeng mohatong o fetileng, ho entsoe mohlala oa ho ithuta oa lipalo, oa lipalo kapa oa mochini ho o leka. Mothating ona, data e arotsoe ka lethathamo la lithupelo le tlhahlobo, me mohlala oa koetlisoa le ho netefatsoa ho sebelisoa li-algorithms tse fapaneng. 4. Tlhahlobo ea Moetso le Kabelo: Tsebetso ea mohlala e lekoa ho sebelisoa methapo e fapaneng, joalo ka ho nepahala, ho nepahala, ho hopola, rmse, le auc. Haeba mohlala o sebetsa hantle, o sebelisoa tlhahisong bakeng sa tšebeliso e sebetsang. 5. Tlhokomelo le Tlhokomelo: Moetso oo hang ha o se o rometsoe o lula o behiloe leihlo ho latela tšebetso ea oona le ho etsa bonnete ba hore o finyella litekanyetso tse hlokahalang. E boetse e bolokoa ka ho nchafatsa data le ho koetlisa mohlala hape ha ho hlokahala. 