- Reinforcement Learning
- Artificial Intelligence
- Classification Algorithms
- Applied Machine Learning
- Regression Analysis
- Supervised Learning
- Unsupervised Learning
- Predictive Modeling
- Model Evaluation
- Data Science
- Deep Learning
- Machine Learning
Machine Learning Introduction for Everyone
Completed by SAGNIK DUTTA
October 14, 2024
6 hours (approximately)
SAGNIK DUTTA'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
