Classification Analysis
Completed by Peter Megenhardt
December 4, 2024
38 hours (approximately)
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What you will learn
Understand the concept and significance of classification as a supervised learning method.
Identify and describe different classifiers, apply each classifier to perform binary and multiclass classification tasks on diverse datasets.
Evaluate the performance of classifiers, select and fine-tune classifiers based on dataset characteristics and learning requirements.
Skills you will gain
- Category: Applied Machine Learning
- Category: Bayesian Statistics
- Category: Feature Engineering
- Category: Logistic Regression
- Category: Data Analysis
- Category: Machine Learning Methods
- Category: Decision Tree Learning
- Category: Fine-tuning
- Category: Model Training
- Category: Supervised Learning
- Category: Predictive Modeling
- Category: Model Evaluation
