ML101 Resources

This session provides a comprehensive introduction to the world of machine learning. We'll cover: - What machine learning is and how it differs from traditional programming - Types of machine …

Python has become the language of choice for data science and machine learning. In this session, we explore: - Setting up your Python environment for data science work - Introduction …

Before any machine learning can happen, your data needs to be properly prepared. This session covers: - The importance of data quality in machine learning - Techniques for handling missing …

Supervised learning is the most common type of machine learning. This comprehensive session covers: - The theory behind supervised learning - Classification vs. regression problems - Key algorithms: Linear Regression, …

Neural networks are powering many of today's most exciting AI applications. This session provides: - A beginner-friendly introduction to neural network concepts - Understanding neurons, activation functions, and layers - …

Learn how to take your machine learning models from experimentation to production. This upcoming workshop will cover: - The ML lifecycle and MLOps principles - Containerization with Docker - Model …