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: Logistic Regression
- Category: Reinforcement Learning
- Category: Data Mining
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Dimensionality Reduction
- Category: Unsupervised Learning
- Category: Random Forest Algorithm
- Category: Machine Learning Algorithms
