The capstone project for Udacity Machine Learning Nanodegree. A transfer learning Deep Learning model trained on augmented image dataset. A class was upsampled 380% using image augmentation and 100% accuracy was achieved.
Find the best regression model parameters using grid search to predict Boston Housing Prices.
Supervised prediction model training. The goal with this implementation is to construct a model that accurately predicts whether an individual makes more than $50,000.
Unsupervised client clustering project. The goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with.
The dog breed image classification project. Train a Transfer Learning model on top of VGG19. The model needs to identify a correct dog breed from a picture. Model was trained on 133 breeds.