- Model Evaluation
- Predictive Modeling
- Reinforcement Learning
- Deep Learning
- Machine Learning
- Regression Analysis
- Artificial Intelligence
- Supervised Learning
- Data Science
- Classification Algorithms
- Applied Machine Learning
- Unsupervised Learning
Machine Learning Introduction for Everyone
Completed by Navin Sreyas Manali Ramakrishnan Srinivasan
April 9, 2023
6 hours (approximately)
Navin Sreyas Manali Ramakrishnan Srinivasan'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
