by Sole | Mar 6, 2023 | Feature Engineering, Machine Learning, Python
You’ve probably heard that feature scaling is a common data preprocessing step when training machine learning models. But why do we rescale features in our data science projects? Do we need to scale features for all machine learning algorithms? And which feature... 
by Sole | Feb 23, 2023 | Data Preprocessing, Feature Engineering, Machine Learning, Python
Binning (also called discretization) is a widely used data preprocessing approach. It consists of sorting continuous numerical data into discrete intervals, or “bins.” These intervals or bins can be subsequently processed as if they were numerical or, more commonly,... 
by Sole | Feb 14, 2023 | Data Preprocessing, Feature Engineering, Machine Learning, Python
Data is the lifeblood of any organization, but raw data on its own is not enough. To unlock its full potential, you need to transform it into valuable insights that can drive decision-making, improve operations, and increase revenue. That’s where data transformation... 
by Sole | Feb 7, 2023 | Data Preprocessing, Feature Engineering, Machine Learning, Python
Data preprocessing is a critical step in the data science process, and it often determines the success or failure of a project. Preprocessing involves transforming messy, unstructured, and noisy data into a structured format suitable for computers to read and analyze.... 
by Sole | Jan 25, 2023 | Categorical Encoding, Feature Engineering, Machine Learning, Python
One-hot encoding categorical variables Categorical variables are those whose values are selected from a group of categories. For example, the variable “marital status,” with the values “never married,” “married, divorced, or “widowed,” is categorical. Categorical data... 
by Sole | Jul 4, 2022 | Feature Engineering, Machine Learning, Python
Data discretization, also known as binning, is the process of grouping continuous values of variables into contiguous intervals.This procedure transforms continuous variables into discrete variables, and it is commonly used in data mining and data science, as well as...