Welcome to Day 2 of "Machine Learning Unlocked"! After diving into the fundamentals on Day 1, it’s time to roll up your sleeves and build your very own Machine Learning model. This hands-on session will give you the practical experience needed to apply the concepts you've learned and bring them to life.

On Day 2, we’ll focus on:

Building Your First ML Model:

Get ready to dive into coding as we guide you step-by-step through building a simple Machine Learning model. We’ll use popular tools and libraries like Python, Scikit-learn, and Jupyter notebooks to demonstrate how to preprocess data, train a model, and evaluate its performance.

Data Preprocessing and Feature Engineering:

Learn the crucial step of preparing your data for modeling. We’ll show you how to clean, transform, and engineer features from raw data to make it suitable for building accurate models.

Model Training and Evaluation:

Understand the process of training an ML model and how to evaluate its accuracy. You’ll also explore different types of algorithms (like regression, classification, etc.) and learn how to choose the right one for your problem.

Practical Tips and Best Practices:

Along the way, we’ll share valuable tips and best practices to optimize model performance, troubleshoot common issues, and avoid common pitfalls in ML projects.

By the end of Day 2, you will have created your own ML model and gained practical experience that can be applied to real-world challenges. Whether you're looking to kick-start your journey in Machine Learning or enhance your skills, this hands-on session will provide you with the confidence and knowledge to build your own models from scratch.

Join us for this exciting opportunity to learn by doing and take your first steps toward becoming a proficient Machine Learning practitioner!