- Applied Machine Learning
- Predictive Modeling
- Reinforcement Learning
- Deep Learning
- Supervised Learning
- Unsupervised Learning
- Classification Algorithms
- Regression Analysis
- Model Evaluation
- Data Science
- Machine Learning
- Artificial Intelligence
Machine Learning Introduction for Everyone
Completed by Tusharjyoti Barman
February 26, 2024
6 hours (approximately)
Tusharjyoti Barman's account is verified. Coursera certifies their successful completion of Machine Learning Introduction for Everyone
What you will learn
Compare and contrast artificial intelligence, machine learning, and deep learning
Explain the machine learning models development lifecycle
Differentiate between supervised and unsupervised machine learning
Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall
Skills you will gain
