- Logistic Regression
- Natural Language Processing
- Convolutional Neural Networks
- Recurrent Neural Networks (RNNs)
- Unsupervised Learning
- Deep Learning
- Reinforcement Learning
- Applied Machine Learning
- Transfer Learning
- Image Analysis
- Python Programming
- Machine Learning
Introduction to Machine Learning
Completed by Chamika Kalhari Jayasekara
August 10, 2020
25 hours (approximately)
Chamika Kalhari Jayasekara'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
