Overview of this Lecture / week
This is the second week for Classification. I’m assuming you have completed the note, videos and lab exercises from last week. Don’t worry if you haven’t finished them, as you can continue working on them this week. But try to spend a bit of time catching up.
This week we will continue looking at some classification additional classification algorithms. These include, Naive Bayes, K-Nearest Neighbour, Support Vector Machines, Neural Networks and Regression. Don’t forget to look back over the notes and video from last week on how to evaluate classification problems, as this is very important.
I hope to give out the module assignment this week.
Click here to download the notes for the Classification topic. These are the same notes as last week.
Videos of Notes
For the labs exercises this week you have 3 sets of notes to complete for Neural Networks, Regression and how to Assess & Evaluate Models
Click here to download the Regression Lab Exercises
2. Neural Networks
Click here to download the Neural Networks Lab Exercises
3. Model Assessment
Click here to download the Model Assessment Lab Exercises
Additional Reading Materials