
Case Study: Data Preprocessing
Now that we've learned all about preprocessing let's try these techniques out on a dataset that records information on UFO sightings.
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Now that we've learned all about preprocessing let's try these techniques out on a dataset that records information on UFO sightings.

What is feature selection? Feature Selection is the method of selecting features from the existing set to be used for modeling. It doesn't create new features. Goal: Improve model's performance One of the easiest ways is to determine where a featur...

What is Feature Engineering? Feature Engineering is the process of the creation of new features based on existing features. It can add features important for clustering tasks or insight into relationships between features. Real-world data is not in...

What is Data Standardization? It is a preprocessing method used to transform continuous data to make it look normally distributed. Why? Scikit-learn models assume normally distributed data. In the case of continuous data, we might risk biasing the m...

What is Data Preprocessing? Data Preprocessing comes right in after you have cleaned up your data and done some Exploratory Data Analysis. It is the step where we prepare the data for modeling. Modeling in Python needs numerical input. Refreshing Pa...