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&rsquo;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 &mdash; 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&rsquo;s start.</p> <pre> <strong>Content Table</strong> ∘ Understanding Python&rsquo;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 &middot; Final Words</pre> <h2>Understanding Python&rsquo;s built-in dataset (Iris dataset)</h2> <p>Python&rsquo;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> <p><a href="https://medium.datadriveninvestor.com/stop-wasting-times-to-learn-machine-learning-read-this-instead-5abfab230279">Visit Now</a></p>