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Introduction to Probability

Introduction to Probability

Health Insurance, Poker, Investing, Blackjack and Lottery. What do these things among many others have in common? Yup you guessed it right, Probability. Probability is the science of estimating likelihood of something happening. The likelihood of getting a heads on coin. The likelihood of a stock going up. The likelihood

How to Measure Variation in Data?

How to Measure Variation in Data?

In the last post we've discussed about central tendencies, and how they can help us understand where the data is mostly centered around. However, this begs the question of how to understand the variation in the data. I mean from our earlier example for understanding mean central tendency, we know

Statistics 101 - Central Tendencies

Statistics 101 - Central Tendencies

In this post, We dive into central tendencies in statistics, like mean, median, and mode. The post explains why they're key for anyone starting in data analysis. It's a casual take on how these concepts play out in real-world data, highlighting their strengths and pitfalls.

Statistics 101 - Essential Data Visualization

Statistics 101 - Essential Data Visualization

⬅️This article is the 2nd part in "Statistics 101" series. If you haven't read the previous articles, I would recommend you to go through them, especially, if you are not aware with those topics. Below are the links to all the articles published in this series so far. 1 -

Starter Guide to Linear Regression (Part 1)

Machine Learning Featured

Starter Guide to Linear Regression (Part 1)

In this series we are going to explore the most basic yet powerful form of regression called Simple linear Regression but before we move on to what is‌‌simple linear regression and how does it work, it’s very important to understand what's regression and what does it helps us

Statistics 101 - Levels of Data

Statistics 101 - Levels of Data

Alright, so this is a new series of posts in which I will focus on important statistical concepts from perspective of Data Science & Analytics applications, concepts which are generally applicable when working different types of Data Science projects. If you want to see all the posts under this series, just