➡️ Machine Learning Explained: A Practical Beginner’s Guide to Concepts, Algorithms, and Use Cases
A beginner-friendly guide to understanding the fundamentals of machine learning, covering key concepts, algorithms, and practical applications.

I am a B.Tech student specializing in Artificial Intelligence and Machine Learning at GGSIPU (EDC). I have a strong interest in full-stack development, data science, applied Machine learning and Deep Learning , with hands-on experience in building real-world projects.
As a web developer, I enjoy turning ideas into clean, responsive, and user-focused digital experiences. I've worked with modern web technologies to build projects that emphasize performance, usability, and maintainable code.
Alongside web development, I'm actively learning Machine Learning and concepts of Deep learning(NLP), focusing on understanding data, building models, and applying ML concepts to real-world problems.
Fun Fact--Debugging is like being a detective in a crime movie where you're also the murderer.....
Because even developers need a break with cinematic wisdom
"Chaos isn’t a pit. Chaos is a ladder."
Game of thrones
2011-2019
Technologies and frameworks I work with
...and more technologies I'm constantly learning!
Milestones and recognitions that mark my journey in tech
Cleared the University-Level Rounds of SIH 2025, qualifying among top teams after problem statement evaluation and internal screening.
Delivered a fully production-ready website, handling planning, development, deployment, and maintenance.
Designed and deployed the official website for akashsan.in with responsive UI, optimized performance, and complete deployment setup.
Successfully completed the Google Generative AI APAC competition, exploring advanced AI workflows, prompt engineering, and GenAI applications.
A showcase of my work in Web Development & Machine Learning



Sharing my learning journey, insights, and experiences in tech
A beginner-friendly guide to understanding the fundamentals of machine learning, covering key concepts, algorithms, and practical applications.
A deep dive into neural network architecture, training dynamics, and real-world implementation.
A practical, industry-focused guide to building real-time object detection systems using YOLOv8.