Machine Learning and Data Science have been buzz words for a long time. While its inherent advantages have come to light only in the recent decade, you will learn why it wasn't popularized prior to the development of modern Graphics Processing Units(GPU) and Computer Processing Units(CPU). Even veteran Data Scientists struggle to come up with a precise definition of the topic. Most machine learning algorithms map from input to output by adapting and learning the correlation between the different categories in the given data. The reason it is referred to as Machine Learning is its characteristic ability to learn patterns in data and apply it to real-world scenarios. Some of its popular applications range from tailored advertisements on social media to product recommendations on online marketplaces like Amazon.