“Garbage in, garbage out” defines the importance of data in data science or machine learning in a nutshell. Incorrect input will yield meaningless results and screening data ensures we get comprehensible results. Before we start building models and generating insights, we need to ensure that the quality of the data we are working with is […]
A Picture Is Worth 1,000 Words: The Importance of Data Visualization
Have you ever heard the saying, “A picture is worth 1,000 words”? This statement holds especially true in the field of Data Science. Let’s say you are a data scientist at a top Fortune company, dealing with budget portfolio optimizations worth millions of dollars annually for various clients. It is essential to effectively communicate your […]