?? Day 39 of 365: Understanding Distributions ??
Ajinkya Deokate
Data Scientist | Researcher | Author | Public Speaking Expert @PlanetSpark | Freelancer
Hey there!
Welcome to Day 39 of our #365DaysOfDataScience journey! ??
Today’s a big one—**distributions** are a major concept in statistics and data science, and they help us understand how data points are spread across a range of values. Let’s jump into it together!
?? What We’ll Be Exploring Today:
- Types of Distributions: Explore different types, like normal, skewed, and uniform distributions.
- The Normal Distribution: Also known as the bell curve, this distribution shows up everywhere in data science, and today, we’ll learn why.
- Properties of a Normal Distribution: Key features like mean = median = mode and symmetry make this distribution special.
?? Learning Resources:
- Read: Chapter 2 of "Statistics for Data Scientists" to get a deeper understanding of the normal distribution and others.
- Watch: Khan Academy’s Normal Distribution Overview for a clear visual explanation.
领英推荐
?? Today’s Task:
- Use NumPy to generate a random dataset with a normal distribution.
- Plot it using Seaborn and visualize that iconic bell curve.
- Discuss the key properties you observe (e.g., symmetry, mean, and variance).
Understanding distributions helps you make better sense of the shape of your data, so let’s have some fun plotting today. Feel free to share your bell curves—let’s compare notes! Keep it up!
Extra Resources ??
Check out this great playlist by Epython Lab on YouTube
Happy Learning and See you Soon!
***
Java and Flutter Developer | AWS Certified Cloud Practitioner | NodeJS
1 个月Insightful