8 docs tagged with "preprocessing"

Transforming raw data into model-ready features using Scikit-Learn's preprocessing and imputation tools.

Mastering the techniques used to harmonize feature scales, ensuring faster convergence and better model accuracy.

Techniques for identifying, analyzing, and resolving missing values in datasets using deletion and imputation strategies.

Understanding how to return words to their dictionary base forms using morphological analysis.

A deep dive into Min-Max scaling, MaxAbs scaling, and Unit Vector normalization for bounded data ranges.

Learn how to normalize text by stripping suffixes to find the base form of words.

A comprehensive guide to creating, transforming, and selecting features to maximize Machine Learning model performance.

The first step in NLP: Converting raw text into manageable numerical pieces.