The first supervised learning model that we will study is that of linear regression. Formally, linear regression models the relationship between a dependent variable using a set of one or more independent variables. The resulting model can then be used to predict the numerical value of the dependent variable. But what does this mean in practice? Well, let's look at our first real-world use case to make sense of this.
Linear regression
Case study – predicting bike sharing demand
Bike sharing schemes have become very popular across the world over the last decade or so as people seek a convenient means to travel within busy cities while limiting their carbon footprint and helping to reduce road congestion. If you...
