Develop and apply Machine Learning techniques using two of the most popular frameworks
- Create a deep neural network using TensorFlow
- Uncover hidden patterns and structures in data with clustering
- Get to grips with the linear regression techniques with TensorFlow
- Implement neural networks and improve predictions
- Apply NLP and sentiment analysis to your data
- Use distance metrics to predict clustering
- Create your own estimator with the simple syntax of sklearn
- Explore the feed-forward neural networks available in scikit-learn