Applied Machine Learning: Techniques and Applications
Completed by Eshaan Rajesh Joshi
January 18, 2025
19 hours (approximately)
Eshaan Rajesh Joshi'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: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Data Transformation
- Category: Machine Learning Methods
- Category: Machine Learning Software
- Category: Data Preprocessing
- Category: Data Processing
- Category: Image Analysis
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Feature Engineering
