Master Machine Learning

Machine Learning

Description

Are you ready to master the mathematical concepts essential for AI and Machine Learning? This 6-week hands-on workshop is designed to help UG & PG students build a strong mathematical foundation while applying concepts practically using Python. Unlike traditional theory-based courses, this program emphasizes real-world implementation, ensuring you gain the skills necessary for AI and ML applications.

Through live interactive sessions, you’ll explore Linear Algebra, Calculus, Probability, and Optimization—the core pillars of AI/ML. You’ll also work with NumPy, Matplotlib, and data handling techniques, making you proficient in Python for ML. Each week includes quizzes and coding exercises, keeping your progress on track.

The course culminates in a hands-on project, where you’ll apply everything you’ve learned to build an ML model. With mentorship, live Q&A, and a certificate of completion, this workshop is your gateway to excelling in AI & ML. Start your journey today!

Seshan S

With extensive experience in AI, Machine Learning, and Deep Learning, I have worked as a Summer Research Intern at IISc Bangalore and NIT Trichy, gaining hands-on expertise in cutting-edge AI applications. As an AI Developer at Rex Industries, I have applied ML and DL techniques to solve real-world challenges. My skills include Python, C/C++, SQL, TensorFlow, PyTorch, OpenCV, and Scikit-Learn, along with expertise in Git, Jupyter, and Google Colab. I have worked on impactful projects like early detection of neurodegenerative disorders and AI-powered assistive devices, with research published in IEEE and Springer Journals. Excited to mentor and guide AI enthusiasts!

Key Objective

Python for ML: Master essential libraries (NumPy, Pandas, Matplotlib, Scikit-learn)
Supervised Learning: Regression & Classification (Linear Regression, Decision Trees, SVM)
Unsupervised Learning: Clustering, Dimensionality Reduction (K-Means, PCA)
Advanced ML Techniques: Ensemble Learning, Hyperparameter Tuning, Feature Engineering
Deep Learning Basics: Neural Networks, CNNs, and TensorFlow/PyTorch
Model Deployment: Deploy ML models using Flask & FastAPI

Key Outcomes:

✔ Build, train, and evaluate ML models from scratch
✔ Gain practical experience with industry-standard tools
✔ Work on a Capstone Project to add to your portfolio
✔ Get a Certificate of Completion
✔ Enhance your job prospects in AI & Data Science

Saturday 3 hour

Sunday 3 hour

FAQ

This workshop is open to everyone interested in building a strong mathematical foundation for AI and ML. While it is specially designed for UG and PG students (1st-4th year), professionals and AI/ML enthusiasts can also join. Whether you're a beginner or have some prior knowledge, this course will help you grasp essential concepts with hands-on Python implementation.

No prior experience in AI/ML is required! However, basic programming knowledge (preferably in Python) will be helpful. The workshop starts with fundamental concepts and gradually moves to advanced topics, ensuring that all students can follow along effectively.