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Use the load_iris function to load the Iris dataset.
load_iris
Load the Iris dataset and save it in a variable named iris.
iris
<< your code goes here >> = load_iris()
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1 Keras Project - Iris Flower Identification - Introduction to Iris dataset
2 Keras Project - Iris Flower Identification - Step 1 - Download the Dataset
3 Keras Project - Iris Flower Identification - Import the required Modules
4 Keras Project - Iris Flower Identification - Load the Iris dataset
5 Keras Project - Iris Flower Identification - Step 2 - Split the Dataset
6 Keras Project - Iris Flower Identification - Split the data into Training and Test sets
7 Keras Project - Iris Flower Identification - Step 3 - Create the Model
8 Keras Project - Iris Flower Identification - Create the Model in Keras
9 Keras Project - Iris Flower Identification - How many Trainable Parameters are there in the Model?
10 Keras Project - Iris Flower Identification - Step 4 - Compile the Model
11 Keras Project - Iris Flower Identification - Compile the Model
12 Keras Project - Iris Flower Identification - Step 5 - Train the Model
13 Keras Project - Iris Flower Identification - Train the Model
14 Keras Project - Iris Flower Identification - Step 6 - Evaluate the Model
15 Keras Project - Iris Flower Identification - Evaluate the Model
16 Keras Project - Iris Flower Identification - Step 7 - View the Predictions
17 Keras Project - Iris Flower Identification - View the Predictions
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