Description for Machine Learning Algorithms
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Sungkyunkwan University
Duration: 3 weeks at 5 hours a week
Schedule: Flexible
Pricing for Machine Learning Algorithms
Use Cases for Machine Learning Algorithms
FAQs for Machine Learning Algorithms
Reviews for Machine Learning Algorithms
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Machine Learning Algorithms
Featured Tools
Besides Python programming and data science fundamentals, the course covers supervised machine learning regression, which includes training models for continuous outcomes, error metrics, Elastic Net, LASSO, Ridge regularization, and data science fundamentals for aspiring data scientists.
Real-World Applications of Machine Learning. Develop proficiency in the implementation of a machine learning undertaking.
This course explores enterprise machine learning applications, assesses the viability of ML use cases, and addresses the prerequisites, data characteristics, and critical factors for developing and managing ML models.
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
A comprehensive course on machine learning using Python, covering deep learning, GANs, image processing, various algorithms, and industrial applications, accessible to all skill levels.