Shreyansh Agrawal

Why I chose the amalgamated course MSc Psychology HRDM with MA (Organisational and Business) Psychology? I graduated from Christ University's MSc Psychology HRDM with MA (Organisational and Business) Psychology program, which emphasises practical learning through constant industry interactions and competitive assignments. It is a two-year full-time program that prepares students for applications of psychological knowledge in organisations/industries.

In my previous article, I explained the statistical distributions for discrete random variables. But most of the samples we work with are generated from continuous distributions. In this article, I’ll explain in detail various distributions used to represent continuous random variables along with their implementation in Python. If you don’t have an understanding of discrete distributions, I would strongly advise going through my previous article to fully understand this article.

We often get lost in advanced machine learning algorithms, but before delving into modeling, it’s essential to understand the distributions of various real-world processes that generate the sample we use for our models. Statistical distributions are the backbone for ML models and in this article, I’ll explain in detail various distributions used to represent discrete random variables along with their implementation in Python. What are discrete random variables?