🤖 Artificial Intelligence / Machine Learning

1. AI & ML Explained Simply for Beginners

No complex jargon — this blog breaks down AI vs ML, real-world uses (chatbots, recommendations), and where beginners can start with Python and basic models.

2. Best Projects to Add to Your Machine Learning Portfolio

Ideas include sentiment analysis, stock price prediction, object detection, and recommendation systems. It also covers how to present these projects on GitHub or during interviews.

3. Is Learning AI Difficult? Here’s How to Start with Zero Coding Background

Explains how non-tech learners can start with visual tools like Teachable Machine or low-code platforms before learning Python. Encouraging for career switchers!

4. Python vs R for AI & ML: Which One Should You Choose?

Compares both languages for data tasks. Python wins for ML and deployment, while R is preferred for pure statistics. This blog helps learners make the right choice early.

5. Top AI Use Cases You Interact With Every Day Without Knowing

From Netflix to Google Maps, this blog opens readers’ eyes to how AI is embedded in their lives and why learning it could help them be part of the next big tech leap.