- 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 ZEELKUMAR RAJNIKUMAR GAJERA
March 17, 2024
25 hours (approximately)
ZEELKUMAR RAJNIKUMAR GAJERA'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
