Applied Machine Learning & Deep Learning with PyTorch

Source: https://www.udemy.com/course/applied-machine-learning-deep-learning-with-pytorch/

What you’ll learn

• Build machine learning regression & classification models
• Develop CNN, RNN, MLP, and LSTM architectures in PyTorch
• Perform NLP tasks like sentiment analysis & spam detection
• Implement image classification models for handwritten alphabets & traffic signs
• Convert notebooks into modular Python project structures

Requirements

• Basic Python knowledge
• Understanding of machine learning concepts
• No prior PyTorch experience required
• No prior deep learning experience required
• Very basic maths

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