Essential Data Preprocessing Techniques Using Titanic and Iris Datasets in Python
Автор: Mathew K Analytics
Загружено: 2025-09-18
Просмотров: 14
Explore foundational data preprocessing methods through practical examples with the Titanic and Iris datasets. This instructional video covers key steps to prepare data effectively for machine learning applications, including:
Loading and exploring datasets
Cleaning missing and inconsistent data
Feature selection and engineering fundamentals
Encoding categorical variables
Normalizing and scaling numerical data
Identifying and handling outliers
Demonstrations use Python libraries such as pandas and scikit-learn to provide clear, hands-on guidance. Ideal for learners seeking to deepen their understanding of data preparation in real-world scenarios.
#DataPreprocessing #MachineLearning #PythonProgramming #DataScience #FeatureEngineering
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