MMManav Modiinmanavmodi.hashnode.dev·Jan 24, 2022 · 3 min readCase Study: Data PreprocessingIn the final blog of this series, we will walk through the entire preprocessing workflow on the dataset related to UFO sightings. Each row in this dataset contains information like the location, the type of the sighting, the number of seconds and min...00
MMManav Modiinmanavmodi.hashnode.dev·Jan 24, 2022 · 2 min readWhat is Feature Selection?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...00
MMManav Modiinmanavmodi.hashnode.dev·Jan 22, 2022 · 3 min readWhat is Feature Engineering?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...00
MMManav Modiinmanavmodi.hashnode.dev·Jan 21, 2022 · 2 min readWhat is Data Standardization?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...00
MMManav Modiinmanavmodi.hashnode.dev·Jan 21, 2022 · 2 min readIntroduction to Data PreprocessingWhat 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...00
