Category : Data Science


What is Machine learning and why is it gaining so much popularity?

Well now a days everyone seems to be talking about machine learning and its applications/uses, but have we ever thought how all of a sudden ML has become so popular? If I tell you that work on AI started way back in 1950 and Machine learning started to grow rapidly in 1990, what has suddenly given a boost to Machine Learning?

In this blog, I will give you answers to these questions but let us first have a look at what machine learning is.

We will start from basics and understand what a Program is.In simple terms,a program is predefined set of rules or instructions. When data is fed to the computer, it processes the data using these rules. That sounds pretty cool, but then came this question of can’t a computer be just fed with the data and it decides rules and give us the answers. This would make … More


Tidy Data in Python – First Step in Data Science and Machine Learning

Most of the Data Science / Machine Learning projects follow the Pareto principle where we spend almost 80% of the time in data preparation and remaining 20% in choosing and training the appropriate ML model. Mostly, the datasets we get to create Machine Learning models are messy datasets and cannot be fitted into the model directly. We need to perform some data cleaning steps in order to get a dataset which then can be fitted into the model. We need to make sure that the data we are inputting into the model is a tidy data. Indeed, it is the first step in a Machine Learning / Data Science project. We may need to repeat the data cleaning process many times as we face new challenges and problems while cleaning the data.┬áData cleaning is one of the most important and time taking process a Data Scientist performs before … More