Applied Machine Learning: Techniques and Applications
Completed by Matias Urlichs Flores Aguilar
November 30, 2025
19 hours (approximately)
Matias Urlichs Flores Aguilar'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: Machine Learning Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Data Transformation
- Category: Computer Vision
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Supervised Learning
- Category: Data Processing
