What is the main purpose of data cleaning?

A. errors और missing values ठीक करना / Fixing errors and missing values

Step 1: Identify the concept: this is data preparation. Step 2: Data cleaning improves data quality by handling wrong, duplicate or missing data. Step 3: Remember clean data means better model result.

Step 1: concept पहचानें: यह data preparation है। Step 2: Data cleaning गलत, duplicate या missing data को handle करके data quality बढ़ाती है। Step 3: Clean data means better model result याद रखें।