Day 21 – Robotics Trends in 2025: AI, Automation & Collaboration
Introduction The robotics landscape is rapidly evolving, and 2025 is expected to bring significant advancements...
Day 21 – Reinforcement Learning Basics Explained
Introduction Reinforcement Learning (RL) is a cutting-edge branch of machine learning where agents learn...
Day 21 – Excel vs Power BI vs Tableau: Which Tool Should You Learn?
Introduction (Comparative Analysis Style) Choosing the right analytics and visualization tool is critical...
Day 21 – Reinforcement Learning for Beginners
Introduction Reinforcement Learning (RL) is one of the most exciting areas of machine learning in 2025,...
Day 17 – ML in Production: Monitoring & Scaling Models
Introduction Training and deploying ML models is only half the journey. In 2025, ML engineers must ensure...
Day 17 – Introduction to Google Data Studio for Beginners
Introduction (Tool-Focused Beginner Tutorial Style) Google Data Studio (GDS) is a free, cloud-based reporting...
Day 17 – Data Ethics & Responsible AI Practices
Introduction In 2025, data science and AI are no longer just technical disciplines; they are deeply intertwined...
Day 17 – AI in Production: Scaling & Monitoring Models
Introduction Deploying AI models is just the beginning. To make AI systems reliable and enterprise-ready,...
Day 17 – AI & Machine Learning in Robotics
Introduction Artificial Intelligence (AI) and Machine Learning (ML) have transformed robotics from pre-programmed...
Day 13 – Hypothesis Testing & A/B Testing for Business Insights
Introduction (Experimental Design + Business Insights) Hypothesis testing and A/B testing are critical...
