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Machine Learning With TensorFlow
Introduction
Course Introduction
Introduction To Machine Learning
Linear Regression
Section Introduction
Code Exercise: Set Up Python In Visual Studio
Single Linear Regression
Code Exercise: Analyze Data With Simple Linear Regression
Under- And Overfitting
Partitioning Data
Code Exercise: Use A Validation And A Test Set
Feature Engineering
Code Exercise: Correlate And Engineer Features
Multiple Linear Regression
Code Exercise: Analyze Data With Multiple Linear Regression
Feature Crosses
Code Exercise: Train Your Model Using Feature Crosses
Section Recap
You've Earned A New Badge
Your Skill Progress
Logistic Regression
Section Introduction
Introduction To Logistic Regression
Evaluating Logistic Models
ROC, AUC, And Prediction Bias
Code Exercise: Analyze Data With Logistic Regression
Regularization
Code Exercise: Regularize A Machine Learning Model
Section Recap
You've Earned A New Badge
Your Skill Progress
Neural Networks
Section Introduction
Introduction To Neural Networks
Training A Neural Network With Backpropagation
Iteratively Train Neural Networks
Code Exercise: Analyze Data With A Neural Network
Multi-Class Neural Networks
Code Exercise: Recognize Handwriting With A Multi-Class Neural Network
Section Recap
You've Earned A New Badge
Your Skill Progress
In Conclusion
Course Recap
Section Introduction
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