Скачать или смотреть Insurance Price Prediction using Machine Learning | Part 1: Problem Statement & Data Understanding

Welcome to Part 1 of our Machine Learning Project Series — Insurance Price Prediction! 🚀
In this video, we’ll start by understanding the problem statement, exploring dataset variables, and performing basic data checks to prepare for further analysis.
This is the foundation of our end-to-end ML project, perfect for beginners and professionals looking to apply Machine Learning to real-world data.

🧠 What You’ll Learn
Problem Statement Understanding
Objective
Import libraries
Load Dataset
Understanding the Dataset
Variable Explanation (age, bmi, charges, etc.)
Basic checks shape , info, datatypes , columns
Unique , value counts
Basic Statistical Summary
Finding Missing values and duplicates

🧰 Tools & Libraries Used
Python | Pandas | NumPy | Matplotlib | Seaborn
📊 Dataset: Medical Cost Personal Dataset (Kaggle)
https://github.com/jeevitharamsudha16...

📺 Next Video (Part 2): Data Cleaning and preprocessing (Coming Soon!)

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