Data Cleaning in a Nutshell
“Better data beats fancier algorithms.” Garbage in, garbage out is the motto that needs to be followed to build an accurate machine learning model. If the data under analysis is not accurate, then it is not useful. Irrespective of how accurate your model is, without data cleaning, it will deliver biased and inaccurate results. Thus, … Read more