Скачать или смотреть Day 10 of Python Session

Welcome to this comprehensive session on Data Visualization with Seaborn, one of the most powerful and beginner-friendly Python libraries for statistical graphics.
In this video, you will learn how to use Seaborn to create beautiful and meaningful visualizations for data analysis and machine learning projects.

🔍 What You Will Learn

In this session, we cover the most important Seaborn plots, including:

📘 Distribution Plots

distplot (deprecated but explained)

histplot — frequency distribution

kdeplot — smooth density curves

📙 Categorical Plots

boxplot — spread, quartiles & outliers

barplot — mean values across categories

countplot — frequency of each category

📗 Advanced Visualizations

pairplot — relationship between multiple variables

heatmap — correlation matrix for EDA

🎯 Why This Session Is Useful

This video is perfect for:

Data Science beginners

Students preparing for projects & assignments

Machine Learning practitioners

Anyone wanting to master visual EDA

Python learners exploring Seaborn for the first time

By the end of this session, you'll be able to analyze datasets, uncover insights, and present results using clean and attractive Seaborn charts.

📂 Tools & Libraries Used

Python

Seaborn

Matplotlib

Pandas

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