Gradient ML course

ML basics for everyone!

Exercise 1: AND Logic Gate

• 🎯 Goal — Create a single neuron that returns True for the AND condition, and False otherwise.
• 📦 Libraries — numpy

Exercise 2: XOR Logic Gate

• 🎯 Goal — Create a neural network that returns True for the XOR condition, and False otherwise.
• 📦 Libraries — numpy, matplotlib.pyplot

Exercise 3: Image Classification

• 🎯 Goal — Create a neural network that returns what digit is on a picture.
• 📦 Libraries — numpy, matplotlib.pyplot, pandas, sklearn.model_selection
• 📊 Dataset — https://www.kaggle.com/datasets/oddrationale/mnist-in-csv