Exploratory Data Analysis Secrets 7 Min Mein! 😱 Part 2

Welcome to Rajat Kumar – Machine Learning & Data Science 🚀

This is the next video in the Machine Learning Basics Playlist (2026), where we explain Exploratory Data Analysis (EDA) in simple Hinglish, with practical examples.

In this short, beginner-friendly tutorial (under 7 minutes), you’ll learn EDA step by step, the most important phase in Machine Learning.
EDA helps you understand your data, catch outliers, missing values, and imbalance, and ensures your model makes accurate predictions.

We break EDA into 10 essential steps, so even beginners can master it quickly.

🔍 What You Will Learn:

👉 How to load the dataset and take a first glance
👉 Understanding data structure, missing values, and target variable
👉 Univariate analysis of numerical & categorical features (histograms, outlier detection)
👉 Bivariate analysis – relationship between features and target
👉 Correlation analysis to find strongest predictors
👉 Derive feature insights for model building

Remember: Skipping EDA can lead to wrong predictions, so don’t skip this step!

🎯 Who Should Watch This:

✅ ML beginners & Data Science students
✅ Anyone starting with Python & Pandas
✅ Credit risk / risk analytics professionals
✅ Working with real-world datasets in 2026

⏱️ Timestamps:

00:00 – Introduction to Exploratory Data Analysis (EDA)
00:24 – Step 1: Load the Dataset
01:14 – Step 2: Understand Basic Data Structure
01:41 – Step 3: Check for Missing Values
02:06 – Step 4: Analyze the Target Variable
02:59 – Step 5: Univariate Analysis – Numerical Features
03:27 – Step 6: Univariate Analysis – Categorical Features
04:22 – Step 7: Bivariate Analysis – Numerical vs Target
04:52 – Step 8: Bivariate Analysis – Categorical vs Target
05:21 – Step 9: Correlation Analysis
05:48 – Step 10: Feature Insights & Next Steps
06:13 – Conclusion

❓ Quick Quiz:

EDA ke 10 steps mein sabse pehle kya karte hain?
💬 Comment mein answer daalo 👇

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🚀 Next video: Feature Engineering / Model Building

📚 Machine Learning Basics Playlist:

👉    • Machine Learning In 7 Minute  

🙋 About Me:

I’m Rajat Kumar, sharing Machine Learning, Data Science & Credit Risk Modeling concepts in a simple, practical Hinglish style, based on real banking & analytics use cases.

🔗 Useful Links:

👉 1:1 Mentorship / Career Guidance: https://topmate.io/rajat_kumar103/
👉 WhatsApp / Telegram Community: https://whatsapp.com/channel/0029Vb7Q...
👉 LinkedIn Profile:   / rajat-kumar-1688ba11a  
👉 Instagram :   / rajat_alt_ctrl_delete  

🔑 Search Queries:

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