Hi, my name is Oliver and I am the author of Machine Learning for Absolute Beginners.

In this mini-course, we're going to consolidate your understanding of machine learning by walking through some practical code examples of algorithms introduced in the book using Python in Jupyter Notebook.

To take the next step in machine learning, I have prepared the following six video tutorials, which provide a gentle introduction to coding your own models in Python using free datasets.

After completing these exercises, you will be well on your way to designing your own prediction models and tackling more advanced resources.

• Linear regression
• Logistic regression
• Support vector machines
• k-nearest neighbors
• k-means clustering
• Decision trees

Ok, let's get started!