Join our Study Jam to dive into Machine Learning Essentials!

In this session, we’ll cover:

1. Overfitting & Underfitting – Understand the common pitfalls in machine learning models and how to balance bias and variance for optimal performance.

2. Making Better Predictions – Learn techniques to improve model accuracy, including cross-validation, hyperparameter tuning, and performance evaluation metrics.

3. Exploring Machine Learning Models – Get familiar with different types of machine learning models, from linear regression to deep learning, and understand their strengths and use cases.

4. Feature Engineering – Discover how to create and transform features to enhance model performance and extract meaningful insights from data.

Whether you're a beginner or looking to refine your skills, this Study Jam is the perfect opportunity to strengthen your machine learning foundation! 🚀