Data Preprocessing

August 31, 2024 4 min read Definitions

Data Cleansing: Process of Correcting or Removing Inaccurate Data

Information Technology Data Science Management Data Cleansing Data Management Data Quality Data Integrity Data Preprocessing

Data cleansing is a crucial process in data management that involves correcting or removing inaccurate, corrupted, incorrectly formatted, or incomplete data from a dataset.

August 31, 2024 4 min read Definitions

Statistics Data Analysis Economics Trend Analysis Time Series Data Preprocessing Signal Processing Statistical Methods

Detrending is a statistical process used to remove trends from data sets to analyze the underlying behavior or patterns without external influences.

August 31, 2024 4 min read Definitions

Feature: An Attribute Used to Train Models

Machine Learning Data Science Feature Engineering Data Preprocessing Attributes Predictive Models Supervised Learning

In machine learning, a feature is an attribute used to train models, playing a crucial role in the predictive performance of algorithms.