ML (AI)

Classification Practice
Cat Dog Classifier - Importing a folder of cats and dog images, building a model, then predicting the class of new photos

Convolutions and Pooling Practice - Resizing an image, applying a convolution/filter and then max-pooling to make the image smaller

Classifying Images with TensorFlow (1) - Using the built-in MNIST Fashion dataset to build a classification model

Classifying Images with TensorFlow (2) - Using the built-in MNIST Digits dataset to build a classification model

Classifying Images with TensorFlow (3) - Using the built-in CIFAR10 dataset to build a classification model

Classifying Penguins - I can take no credit for this, but I wanted to experiment using StreamLit and making a pckl file. I used this youtube video and file to make an app to classify penguins.

Regression Practice
TensorFlow Regression Example - A regression model to calculate house rental price

Image Detection
Number of Faces in a Photo - Learning how to put boundary boxes around faces in a given photo

Objects on Faces in a Photo - Modifying above code to add objects onto faces

Boundary Boxes in Video Files - Learning how to put boundary boxes around faces in video