About this document
KDD Process in Data Science Explained by Ricardo Benavides is a document available to read on EtoBox.
The document discusses key concepts in data science and machine learning including: - Dependent and explanatory variables which are also known as predictor variables - Classification which predicts categorical variables and is a data analysis task - Clustering which is an unsupervised learning method that works based on distance measures - Association rule mining which aids in identifying associations and correlations in data through rules - Descriptive and inferential statistics and their uses in sample an
- Author
- Ricardo Benavides
- Language
- EN