Stop wasting times to learn Machine Learning! Read this instead!
<p>Welcome to Machine Learning Tutorial. In this tutorial, we will do basic Machine Learning operations, starting with loading Python’s built-in data set to build svm with Iris Dataset.</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:630/1*hkmTcxo023BiS3HP9XBpDw.png" style="height:525px; width:700px" /></p>
<p>Machine Learning — First steps -Image by Author</p>
<p>At the end of the article, you will see the quiz, that will help you double check the information.</p>
<p>My mission here is to help especially beginner Data Scientist or Machine Learning enthusiastics to explore it smoothly.</p>
<p>Let’s start.</p>
<pre>
<strong>Content Table</strong>
∘ Understanding Python’s built-in dataset (Iris dataset)
∘ Understanding the shape of data (Diabetes dataset)
∘ Data Visualization with Iris dataset
∘ Data Splitting with Wine dataset
∘ Linear Regression with Diabetes dataset
∘ Logistic Regression with Iris dataset
∘ Decision Trees with Wine dataset
∘ Feature Scaling with Iris dataset
∘ K<a href="https://medium.datadriveninvestor.com/stop-wasting-times-to-learn-machine-learning-read-this-instead-5abfab230279#906c" rel="noopener ugc nofollow">-</a>Nearest Neighbors with Wine dataset
∘ Support Vector Machines with Iris dataset
∘ Quiz
· Final Words</pre>
<h2>Understanding Python’s built-in dataset (Iris dataset)</h2>
<p>Python’s sklearn library provides built-in datasets that are very useful for practicing machine learning. One such dataset is the Iris dataset.</p>
<p>Write a Python program to load the Iris dataset from sklearn, display the feature names and target names of the dataset.</p>
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