Category: Learning data science

As data science is more than Art it is science and more than science it is Art, due to this it requires some of the qualities beyond academic and programing skills which is Be Generalist and then Specialist Firstly who

Presently we are in the era of automated machine learning (Auto ML), which helps automating most of the machine learning pipeline components such as data understanding, data engineering, feature engineering, model training, hyperparameter tuning, model monitoring, etc. and also there

As data science is everywhere due to the evolution of tools, computation power, speed, connectivity, storage systems and algorithms there is no way of getting out of working with it. Due to the pandemic the digitalization accelerated furthermore and changed

As a practitioner, in my lens any of the analytical problem will be solved by using the either of these approaches Prediction – Predicting the future Grouping Association Exploring the data in either higher dimensional Space (kernels) or lower dimensional

In my lens Analytics/ML/Data science whatever you call, it is always lies between exploration and explanation. Always the aim is to understanding the business problem and then converts that problem into data problem through the proper data exploration (with   problem

As we are all witnessing industry 4.0, often referred as intelligent revolution in which technology is evolving in  its  facets  like  tools, computing, Interfaces, sensors , data  and Intelligence has  really  transforming  the world of the services to their customers.

Since the time I started off, not only have I grown and evolved as an data scientist, I have also witnessed the data science domain, transform and evolve to what it is now. As we speak,  we are, in the