Scikit-Learn
(สไคคิด-เลิร์น)
Definition
Scikit-Learn (สไคคิด-เลิร์น) Tool
Scikit-Learn is a powerful open-source Python library used for machine learning, providing simple and efficient tools for data mining and data analysis.
Expertise Level
Level 1
Basic
1. Understands the basic concepts of machine learning and Scikit-Learn's purpose.
2. Can load datasets and apply simple algorithms like linear regression or classification.
3. Able to use Scikit-Learn's API for training and testing models using built-in datasets.
Level 2
Intermediate
1. Can preprocess data using Scikit-Learn tools such as scaling, encoding, and feature selection.
2. Applies various machine learning algorithms and evaluates model performance using metrics.
3. Able to perform model tuning using techniques like cross-validation and grid search.
Level 3
Advanced
1. Can build complex machine learning pipelines integrating multiple preprocessing steps and models.
2. Develops custom transformers or estimators extending Scikit-Learn functionality.
3. Optimizes and deploys machine learning models in real-world applications with an understanding of scalability.
