Join us for our Explore ML beginner session, where you'll learn the fundamentals of machine learning and get hands-on experience with popular libraries like scikit-learn and TensorFlow.
In this session, we'll cover supervised and unsupervised learning, classification, regression, clustering, data preprocessing, feature engineering, and model evaluation. You'll learn how to prepare your data for machine learning, select the right model for your problem, and evaluate its performance.
We'll provide practical examples and guidance on best practices, so you'll be able to apply what you've learned to real-world problems. You'll also have the opportunity to connect with other learners and explore more advanced topics in machine learning.
Whether you're a student, a working professional, or just someone interested in machine learning, this session is for you. Don't miss out on this opportunity to learn from experts in the field and take the first step towards building your machine learning skills.
Note: This session requires some basic knowledge of Python programming language. If you're new to programming, we recommend taking a Python for beginners course before attending this session.
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