#Zero to Mastery

Discover a comprehensive course focusing on PyTorch for deep learning, including the latest PyTorch 2.0 tutorial. This hands-on course emphasizes practical coding with sections covering neural network classification, computer vision, transfer learning, custom datasets, and model deployment. Through milestone projects such as FoodVision, gain practical experience and develop a portfolio. This beginner-friendly course uses Google Colab notebooks and video content for understanding deep learning fundamentals.

This content presents a detailed overview of the 'Zero to Mastery Deep Learning with TensorFlow' course, focusing on foundational concepts, neural network construction, and TensorFlow/Keras application. The course features step-by-step coding challenges and project-based learning for enhanced deep learning proficiency. Key components include comprehensive course materials, regular updates, practical exercises, video tutorials, an online book, and a TensorFlow Cheatsheet, catering to users with basic Python and machine learning background.

This course repository includes resources from the Zero to Mastery Machine Learning Course, offering code, notebooks, and tutorials on essential data science tools such as NumPy, pandas, and TensorFlow. With updates for 2025, it features interactive projects on heart disease classification and bulldozer price prediction, providing learners a structured framework for various machine learning projects.