Data Science Certificate 

Unsupervised Learning​

k-means, DBSCAN, and hierarchical clustering

Regression and Classification with MLlib

Sources of Error

Regularization Techniques

Dimensionality Reduction

Principal Component Analysis (PCA)

Support Vector Machines (SVM)

Decision Trees, Ensemble Learning, and Learning Forests

Introduction to Neural Networks and Keras

Optimizing Deep Neural Networks

Using TensorFlow Interactively and Using Custom Functions