- 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
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