A Gaussian Process is a nonparametric model. By contrast, linear regression is a parametric model. Consider y = m*x + b. In this model, m and bare parameters, which say, “on average, scale x by m and…
This blog introduces the reader to the Divide and Conquer (D&C) strategy and discusses a versatile 3 step method that can be adapted to solve almost all the problems that fall under the category of D&C
Knowing how to import and read a CSV file in Pycharm is a big plus. You save time; you work faster; and your work remains compact, among other benefits. Pycharm itself is a robust tool. If you are…
IAM also known as Identity Access Management provides the root user of the AWS account the opportunity to provide users and groups access to the AWS environment through permissions and policies. If…
I would often find myself charting out my cold calls and keeping needless statistics that, in retrospect, held little or no future value. This seemed like a that I had to break out of. Why does the…
Econometrics is a toolkit. It incorporates knowledge from other disciplines, uses this information to summarize reality and creates a simplified model to represent this reality. • What is the impact…
K- Means Clustering is an unsupervised machine learning technique which is used to group similar data points together into a cluster. Now first question arises how similarity is measured between data…
If you’ve studied Taylor Series, you understand how useful it is to approximate a complex function by a finite series of monomials. Fourier Series is another example of decomposing a generic function…
Python dictionary is powerful, and its key-value pair attribute comes in handy in Data Science Interviews. Read this post and get practice with real interview questions.
Predicting a Customer’s Lifetime Value, or how much they will spend over the next few years, is a very challenging problem. Some Data Scientists (me) have full time jobs dedicated to solving this…
