- Logistic Regression
- Computer Vision
- Natural Language Processing
- Convolutional Neural Networks
- Transfer Learning
- Machine Learning
- Artificial Neural Networks
- Python Programming
- Supervised Learning
- Unsupervised Learning
- PyTorch (Machine Learning Library)
- Applied Machine Learning
Introduction to Machine Learning
Completed by Stephanie Immanuela
May 10, 2021
25 hours (approximately)
Stephanie Immanuela's account is verified. Coursera certifies their successful completion of Introduction to Machine Learning
What you will learn
Explain various machine learning models and how they can solve complex problems in multiple industries from medical diagnostics to text prediction.
Implement data science models on datasets through hands-on practice exercises.Â
Skills you will gain
