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3.2 You are provided with access at which contains the classic 150-row ...
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3.2 You are provided with access at which contains the classic 150-row
please click on the link: iris data: The dataset have the following features.
Sepal_length | Sepal length in cm |
Sepal_width | Sepal width in cm |
Petal_length | Petal length in cm |
Petal_width | Petal width in cm |
Species | Species (Setosa, Virginica) |
(a) Data Preparation
Write a Python code to:
· Load the into a Pandas DataFrame and print the first eight rows.
· Label encoding or One hot column encoding for the Species column and split the
Iris_dataset.csv into 80% train and 20% test.
(b) Write Python code to train the following algorithms using the 80% train portion: Logistic Regression, Support Vector Machine, Decision Tree and Random Forest
(c) Write a Python code for predictions using the following algorithms: Logistic Regression, Support Vector Machine, Decision Tree and Random Forest. (25 marks)