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Principal component analysis is a technique used in machine learning to reduce dimension. In this video we are going to look at what it is, well write some python code, and in the end there will be an interesting exercise for you to work on. Lets say youre working on a building a machine learning model to predict property prices. Here all the columns on the left hand side are the features or the attributes of the property that decides the price. So the column in green is actually your target variable. You probably already know that the price of the home is mainly dependent on area, which town it is in, plot, etc. It depends on how many bathrooms you have in a property but not as much. For example, 2600 square foot home with two bathroom versus three bathroom, price wont be that different. But if you go from 2600 to 3000 square feet price will be docHubly different. So clearly area plot plays a more important role in determining the last price, bathroom plays a little bit of a