Advanced Methods in Machine Learning Applications
Completed by Liliana Munoz
June 22, 2025
19 hours (approximately)
Liliana Munoz's account is verified. Coursera certifies their successful completion of Advanced Methods in Machine Learning Applications
What you will learn
Understand and apply ensemble methods to improve model accuracy and robustness by combining multiple learning algorithms.
Explore advanced regression techniques for predicting continuous outcomes and modeling complex relationships in data.
Apply unsupervised learning algorithms for clustering, dimensionality reduction, and pattern recognition in unlabeled data.
Understand and implement reinforcement learning techniques and apriori analysis for decision-making and association rule mining.
Skills you will gain
- Category: Model Evaluation
- Category: Logistic Regression
- Category: Reinforcement Learning
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Dimensionality Reduction
- Category: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Regression Analysis
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Data Mining
