Advanced Methods in Machine Learning Applications
Completed by Eshaan Rajesh Joshi
June 2, 2025
19 hours (approximately)
Eshaan Rajesh Joshi'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: Random Forest Algorithm
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Model Optimization
- Category: Decision Tree Learning
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Unsupervised Learning
- Category: Machine Learning Methods
- Category: Model Evaluation
