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Machine Learning

218 learners

Modeling the Iris Dataset with TensorFlow

Explore the famous Iris dataset in our advanced TensorFlow course. Learn to preprocess data, build, and train a multi-class classifier. Evaluate performance with metrics and visualizations. Conclude with model optimization techniques to boost efficiency and accuracy, and cover saving/loading for deployment.

Python

Scikit-learn

TensorFlow

See path

5 lessons

25 practices

3 hours

Deep Learning and Neural Networks

Course details

Preprocessing the Iris Dataset for TensorFlow

Preview

Exploring and Preprocessing the Iris Dataset

Changing Train-Test Split Ratio

Fix the Data Preprocessing Bugs

Hands-on Data Preprocessing

End-to-end Preprocessing the Iris Dataset

Previous Course

Next Course: TensorFlow Techniques for Model Optimization

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