Simplifying Regression and Classification with Estimators
Machine Learning
| Intermediate
- 7 Videos | 35m 49s
- Includes Assessment
- Earns a Badge
This 6-video course focuses on understanding Google's TensorFlow estimators, and showing learners how they simplify the task of building simple linear and logistic regression models for machine learning solutions. As a prerequisite, learners should have a basic understanding of ML (machine learning), and basic experience programming in Python. Though not required, familiarity with the Scikit-learn library and the Keras API will simplify the labs part of this course. First, you will learn how TensorFlow estimators abstract many of the details in creating a neural network, and you will then learn that you no longer need to define the type of neural network model, nor will you need to add definitions to layer. When using an estimator, learners only need to feed in training and validation data. In the course labs, you will build both a linear regression model and a classifier by using TensorFlow estimators. Finally, you will learn how to evaluate your model using the prebuilt methods available in the estimator.
WHAT YOU WILL LEARN
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describe the role of estimators in speeding up the development of standard regression and classification modelsprepare a dataset to be used to train and validate a linear regression estimatoruse the estimator's methods to train and evaluate the model and visualize its performance using Matplotlib
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transform a dataset so that it can be used to train and validate a linear classifier estimatoruse input functions to pass training and validation data to an estimator and evaluate its performance onutilize TensorFlow estimators with linera regression models
IN THIS COURSE
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1.Course Overview2m 29sUP NEXT
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2.Introducing Estimators4m 37s
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3.Preparing Data for a Linear Regressor Estimator6m 58s
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4.Training and Evaluating a Regressor Estimator8m
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5.Preparing Data for a Linear Classifier Estimator5m 2s
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6.Training and Evaluating a Classifier Estimator3m 40s
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7.Exercise: Using TensorFlow Estimators5m 4s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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