1. Identifying handwritten mathematical symbols and letters - a CNN implemented with Keras, trained on the HASYv2 dataset. Covered in the book 'Python artificial intelligence projects for beginners' by Joshua Eckroth
2. Predicting housing prices - training ScikitLearn models on the California Housing Prices dataset from the StatLib repository. Covered in the book 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems' by Aurélien Géron
3. Predicting bird species with random forests - Training ScikitLearn models on the Caltech-UC San Diego dataset. Covered in the book 'Python artificial intelligence projects for beginners' by Joshua Eckroth
4. Yelp regression - Used Multiple Linear Regression on Yelp data in order to predict restaurant features that most influence Yelp ratings. Codecademy project