Machine Learning Exercise Creating a Linear Classify with Gradient Descent from Scratch. This was an excersise in my machine learning class to create a Linear Classifier from scratch writing functions for gradient descent , calculating loss, and training the weights. Used Numpy matrix math to minimize any looping within the program. Jupyter Notebooks are Attached.
Attached CSV with Child Height Data with two features as predictors.
Attached Train and Test Batches of CIFAR 10 Dataset. Learned 10-2 Class Classifiers to Predict the data. Although I realize this is not the most efficient or best way to do this, it was a good exercise to learn how to create a classifier, and program loss and gradient functions without using libaries.
