What is the main difference between overfitting and underfitting?

Overfitting – In overfitting, a statistical model describes any random error or noise, and occurs when a model is super complicated. An overfit model has poor predictive performance as it overreacts to minor fluctuations in training data. Underfitting – In underfitting, a statistical model is unable to capture the underlying data trend. This type of … Read more

What is the Metadata?

Metadata refers to the detailed information about the data system and its contents. It helps to define the type of data or information that will be sorted. In the context of data analytics, metadata refers to descriptive information about the characteristics of data. It provides context and structure to the data, helping users understand its … Read more

Why should you choose data visualization?

Since it is easier to view and understand complex data in the form of charts or graphs, the trend of data visualization has picked up rapidly. Choosing data visualization for data analytics has several advantages: Ease of Understanding: Human brains are wired to process visual information more efficiently than textual or numerical data. Data visualization … Read more

What is data visualization?

In simpler terms, data visualization is a graphical representation of information and data. It enables the users to view and analyze data in a smarter way and use technology to draw them into diagrams and charts. In the context of data analytics, data visualization refers to the graphical representation of data and information. It involves … Read more

What is the Truth Table?

Truth Table is a collection of facts, determining the truth or falsity of a proposition. It works as a complete theorem-prover and is of three types – Accumulative truth Table Photograph truth Table Truthless Fact Table In the context of data analytics, the term “truth table” typically refers to a table used to represent the … Read more