Applied Machine Learning: Techniques and Applications
Completed by Dan Nielsen
May 9, 2025
19 hours (approximately)
Dan Nielsen's account is verified. Coursera certifies their successful completion of Applied Machine Learning: Techniques and Applications
What you will learn
Understand and implement machine learning techniques for computer vision tasks, including image recognition and object detection.
Analyze data features and evaluate machine learning model performance using appropriate metrics and evaluation techniques.
Apply data pre-processing methods to clean, transform, and prepare data for effective machine learning model training.
Implement and optimize supervised learning algorithms for classification and regression tasks.
Skills you will gain
- Category: Regression Analysis
- Category: Computer Vision
- Category: Data Cleansing
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Data Integration
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Model Evaluation
- Category: Machine Learning Software
- Category: Image Analysis
- Category: Model Optimization
