Notes

Key concepts in supervised learning, including regression, classification, and evaluation metrics...

Comprehensive notes on arrays, linked lists, trees, graphs, and their implementations...

Introduction to quantum bits, quantum gates, and quantum algorithms like Shor's and Grover's...

Deep dive into neural network architectures, activation functions, backpropagation, and optimization...