- Applied Machine Learning
- Machine Learning
- Supervised Learning
- Artificial Neural Networks
- Computer Vision
- Python Programming
- Recurrent Neural Networks (RNNs)
- Natural Language Processing
- Deep Learning
- Unsupervised Learning
- PyTorch (Machine Learning Library)
- Convolutional Neural Networks
Introduction to Machine Learning
Completed by Parth Sunilkumar Nayak
November 27, 2020
25 hours (approximately)
Parth Sunilkumar Nayak'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
