Data augmentation is used by Data Science professionals to avoid the situation of 'overfitting', and increase the available dataset that is small for training purposes. Sometimes, they even use deep learning models to put some extra effort into the datasets.

In simple words, Data Augmentation means the process of generating new data by increasing the size and quality of training datasets to make sure that better models can be built utilizing them. Just remember, that while dealing with machine learning, artificial learning, and deep learning, the dataset should be large enough. And Data augmentation is the process that will help you boost the already existing data quickly.

Data Augmentation is a must-have skill for every data scientist. If you are looking for the first data scientist job then it is the most important skill that you need to have on your CV. So, if you want to master this skill and become a successful data scientist, enroll in the best Data Science Course in India. Because only through the right course and data science training, you can learn this skill!