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Applied Machine Learning: Industry Case Study with TensorFlow
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What you'll learn from this course
Overview
Preliminary Data Analysis
Introduction
The Dataset
Missing Data
Dropping Features
Filling In Data
Merging Data
Categorical Data
Scatter Plot
Bar Plot
Interpreting Plots
Quiz
Data Processing
Introduction
Splitting Datasets
Integer Features
Float Features
String Features
Writing TFRecords
Example Spec
Parsing Examples
TFRecords Dataset
Numeric Columns
Indicator Columns
Embedding Columns
Model Input Layer
Quiz
Model Predictions
Introduction
Model Layers
Regression Function
Training Mode
Evaluation Mode
Prediction Mode
Regression Model
Model Training
Model Evaluation
Making Predictions
Final Report
Course Conclusion
Making Predictions
We'll cover the following
Chapter Goals:
A. The final model
B. Estimator predictions
Chapter Goals:
Use the regression model to make predictions on an unlabeled test dataset
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