In this project, build an optimal model based on a statistical analysis with the tools available to estimate the best selling price for clients' homes in Boston.

In this project, evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent

In this project, used unsupervised learning techniques and work towards developing conclusions for a potential client on a real-world dataset to find what types of customers they have to help them make better, more informed business decisions in the future to see if any similarities exist between customers, and how to best segment customers into distinct categories.

 In this project, build a pipeline to process real-world, user-supplied images. Given an image of a dog, algorithm identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.