
Setup 
Download files required for the lesson 
00:00 
1. Introduction

What is machine learning?

00:40 
2. Regression

How can I make linear regression models from data?
How can I use logarithmic regression to work with nonlinear data?

01:55 
3. Introducing Scikit Learn

How can I use scikitlearn to process data?

02:30 
4. Clustering with Scikit Learn

How can we use clustering to find data points with similar attributes?

03:05 
5. Dimensionality Reduction

How can we perform unsupervised learning with dimensionality reduction techniques such as Principle Component Analysis (PCA) and tdistributed Stochastic Neighbor Embedding (tSNE)?

03:05 
6. Neural Networks

How can we classify images using a neural network?

03:55 
7. Ethics and Implications of Machine Learning

What are the ethical implications of using machine learning in research?

04:10 
8. Find out more

Where can you find out more about machine learning?

04:20 
Finish 
