Скачать или смотреть Day 12: Checking Data Types with type() for AI & Coding Interviews

Day 12 of our Python for AI Course
In this lesson, you’ll master the type() function — a simple yet powerful Python tool that helps you check data types, avoid bugs, and write professional, error-free code.

📘 What You’ll Learn:
✅ How Python classifies data as integers, floats, strings, or booleans
✅ Why checking data types is critical in AI, machine learning & data science
✅ Real-world use: validating training data before model building
✅ Hands-on examples with plain-English explanations
✅ Bonus: debugging tips used by AI engineers worldwide

💡 Who this is for:
Perfect for B.Tech, B.E, MCA, M.Sc (CS/IT), AI & ML students, and IT professionals upgrading to Python for data-driven careers.

🌍 Why it matters:
In AI & data science, knowing your data type helps you prevent costly model crashes and ensures smoother workflows. Start thinking like an AI engineer — one data type at a time.
0:00 Intro – Why Data Types Matter
0:10 Every Value Has a Type
0:30 Common Mistakes in Data Handling
0:55 The Magic of type() Function
1:15 Checking Integers and Floats
1:35 Working with Strings and Booleans
1:55 Debugging Made Easy
2:15 Real-World AI Application
2:45 Using type() Before Model Training
3:10 Quick Practice Challenge
3:30 Summary & Next Lesson – String Slicing
3:45 Closing Motivation
🔖 Hashtags:
#Python #PythonForAI #LearnPython #AICoding #MachineLearning #DataScience #PythonCourse #ProgrammingForBeginners #BTech #MCA #SoftwareEngineering #CodingInterview