- Predictive Modeling
- Classification Algorithms
- Supervised Learning
- Model Evaluation
- Applied Machine Learning
- Unsupervised Learning
- Artificial Intelligence
- Reinforcement Learning
- Deep Learning
- Machine Learning
- Data Science
- Regression Analysis
Machine Learning Introduction for Everyone
Completed by Puvanendran Gajanan
March 14, 2023
6 hours (approximately)
Puvanendran Gajanan'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
