Learn TensorFlow features in a real-life problem, followed by detailed TensorFlow installation and configuration
Explore computation graphs, data, and programming models also get an insight to an example of implementing linear regression model for predictive analytics
Solve the Titanic survival problem using logistic regression, random forests, and SVMs for predictive analytics
Dig deeper into predictive analytics and find out how to take advantage of it to cluster records belonging to the certain group or class for a dataset of unsupervised observations
Learn several examples of how to apply reinforcement learning algorithms for developing predictive models on real-life datasets