This is data science different topic explanation conversation series.

If you are not following below mentioned are the links for each part.

Part-1:

Part-2:

Part-3:

Part-4:

Part-5:

Part-6:

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**Data Science different topic’s explanation – Part-7 – Probability Distributions**

There are a lot of engineers who have never been involved in the field of statistics or data science. But in order to build data science pipelines or rewrite produced code by data scientists to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For those Data/ML engineers and novice data scientist, i make this series of posts. I will try to explain some basic approaches in plain english and, based on ti, explain some of the data science basic concepts.

There are many distributions, But first, we need to understand probability functions for continuous random variables.

- Probability Density Function (PDF)
- Cumulative Distribution Function (CDF)