- Data Cleansing
- Data Analysis
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Supervised Learning
- Computer Vision
- Feature Engineering
- Applied Machine Learning
- Data Transformation
- Machine Learning
- Machine Learning Algorithms
- Image Analysis
Applied Machine Learning: Techniques and Applications
Completed by Casey Tranter
August 27, 2025
19 hours (approximately)
Casey Tranter'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
