Getting Started with Scikit-Learn
Explore the world of machine learning with Scikit-Learn, a powerful Python library for data analysis and modeling. This course guides you through the essential tools and techniques used in Scikit-Learn to create predictive models, perform data preprocessing, and evaluate model performance. Perfect for those with a basic understanding of Python and machine learning concepts, this course provides the practical skills needed to enhance your data science projects.
What You'll Learn
Data Preprocessing
Learn how to prepare data for machine learning models using Scikit-Learn's preprocessing techniques.
Model Building
Understand how to build, train, and evaluate machine learning models using Scikit-Learn.
Model Evaluation
Gain insights into model evaluation metrics and techniques to improve model performance.
Pipeline Creation
Master the creation of machine learning pipelines to streamline the modeling process.
Feature Engineering
Explore feature engineering methods to enhance model accuracy and performance.
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