Nov
08
The Importance of Data Cleaning in Data Science Projects
Data cleaning is a fundamental step in data science projects that significantly impacts the success of any analysis or machine learning model. It involves the process of identifying and rectifying errors, inconsistencies, and inaccuracies in raw data to ensure that the dataset is reliable, complete, and ready for analysis. Without proper data cleaning, insights derived […]