Data Science

Data Science Awesome Guides P-value Explained Simply for Data Scientists

Recently, I got asked about how to explain p-values in simple terms to a layperson.

read more

Data Science Natural Language Processing Adding Interpretability to Multiclass Text Classification models

Explain Like I am 5. It is the basic tenets of learning for me where I try to distill any concept in a more palatable form.

read more

Awesome Guides Data Science The 5 Classification Evaluation metrics every Data Scientist must know

What do we want to optimize for? Most of the businesses fail to answer this simple question.

read more

Data Science 4 Graph Algorithms on Steroids for data Scientists with cuGraph

We, as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database.

read more

Data Science Automate Hyperparameter Tuning for your models

When we create our machine learning models, a common task that falls on us is how to tune them.

read more

Data Science 6 Important Steps to build a Machine Learning System

Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system.

read more

Data Science A Generative Approach to Classification

I always get confused whenever someone talks about generative vs. discriminative classification models.

read more

Data Science Awesome Guides Data Scientists, The 5 Graph Algorithms that you should know

We as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database.

read more

Data Science Awesome Guides The Ultimate Guide to using the Python regex module

One of the main tasks while working with text data is to create a lot of text-based features.

read more

Data Science Awesome Guides How did I learn Data Science?

I am a Mechanical engineer by education. And I started my career with a core job in the steel industry.

read more