Practical AI Pro
Practical AI Pro is your go-to channel for mastering Artificial Intelligence with real-world applications. 🚀
I simplify AI, Machine Learning, Deep Learning, and Generative AI into practical, easy-to-apply lessons for working professionals, students, and tech enthusiasts. Instead of just theory, we focus on hands-on use cases, industry examples, and career-ready skills that you can immediately apply in your work and projects.
On this channel, you’ll learn:
✅ AI basics explained in simple terms
✅ Machine Learning & Deep Learning made practical
✅ Generative AI tools
✅ AI use cases across all domains
✅ Career tips to stay future-ready with AI skills
✅ Tutorials, demos, and step-by-step guides
Whether you’re a beginner exploring AI or a professional upgrading your skills, Practical AI Pro helps you unlock the power of AI to boost productivity, innovation, and career growth.
🔔 Subscribe today and start your journey to becoming AI-Proficient, AI-Ready, and AI-Confident.
Clustering Explained Simply: K-Means, DBSCAN & Hierarchical | Unsupervised Learning | Ch 5 – Pt 1
Supervised Learning Explained | Regression, Decision Trees & Case Study | Full Chapter 4 (4 Lessons)
Case Study: Predicting Employee Attrition with AI | Supervised Learning | Ch 4 – Pt 4
Model Evaluation Metrics⚖️| Accuracy, Precision, Recall, F1,ROC | Supervised Learning | Ch 4 – Pt 3
Decision Trees 🌳 | Random Forests 🌲 | Gradient Boosting 🚀 | Supervised Learning | Ch 4 – Pt2
Linear & Logistic Regression in Machine Learning (2025 Guide) | Supervised Learning | Ch 4 – Pt1
Foundations of AI 🤖 | Start Your AI Journey Today! | AI Unlocked | Full Chapters 1 to 3.
Inside the AI Brain 🧠 | Workflow + Terminology | Foundations of AI | Full Chapter 3 (4 Lessons)
Master the Math & Code That Make AI Smarter 🧠 | Foundations of AI | Full Chapter 2 (4 Lessons)
Introduction to Artificial Intelligence | Foundations of AI | Full Chapter 1 (4 Lessons)
🚀 Top 3 AI Frameworks : PyTorch, TensorFlow & Hugging Face! | AI Workflow | Ch 3 - Pt 4
🤖 Features, Labels, Epochs, Overfitting & Underfitting Explained | AI Workflow | Ch 3 - Pt 3
🚀 AI Training vs Inference | The Secret Journey From Learning to Action! | AI Workflow | Ch 3 - Pt 2
The SECRET Behind Every AI Model 🤖 | Data Pipeline Demystified | AI Workflow | Ch 3 - Pt 1
🚀 Python Essentials You MUST Know (NumPy, Pandas, Matplotlib) | AI Programming | Chapter 2 - Part 4
AI Math : Gradient Descent & Convex vs. Non-Convex Problems | AI Math | Chapter 2 - Part 3
AI Math 🤖 | Probability & Statistics | The Mathematical & Programming Backbone | Chapter 2 - Part 2
AI Math : Linear Algebra Essentials | The Mathematical & Programming Backbone | Chapter 2 - Part 1
AI in Action: Real-World Industry Examples You NEED to Know | Introduction to AI | Chapter 1- Part 4
The 4 Stages of AI That Changed the World | Introduction to AI | Chapter 1 - Part 3
Why Ignoring AI Could Ruin Your Career! | Introduction to AI | Chapter 1 - Part 2
What is the difference ? AI vs ML vs DL vs Generative AI | Introduction to AI | Chapter 1 - Part 1