Machine Learning: Supervised Learning 1
Supervised Learning is a technique in which we train the computer using labeled data which means that some data is already tagged in with the correct answers. We will be implementing these algorithms in python. Here are the steps you need to follow to set up your computer for machine learning. If you don't want to go for deep learning right now you can skip step 4,5,6. The first algorithm we are going to see is: Linear Regression Regression deals with predicting continuous values. It helps to estimate target values such as prices, temperature, population, etc. Linear regression is the simplest form of regression. The predictions that this model will provide in the future will all fall on the regression line that is formed during the training. Let's take an example of predicting income. So, our input data (X) will contain features (columns of information). These features can be numerical (eg. Years of Experience) or categorical (eg. Role). We...