Applied Machine Learning: Techniques and Applications
Completed by AMMAR KHALIL
November 12, 2024
19 hours (approximately)
AMMAR KHALIL'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: Data Transformation
- Category: Machine Learning
- Category: Data Cleansing
- Category: Data Processing
- Category: Supervised Learning
- Category: Machine Learning Software
- Category: Image Analysis
- Category: Model Optimization
- Category: Feature Engineering
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: Data Integration
