- Scikit Learn (Machine Learning Library)
- Regression Analysis
- Unsupervised Learning
- Predictive Modeling
- Python Programming
- Feature Engineering
- Classification Algorithms
- Machine Learning
- Model Evaluation
- Decision Tree Learning
- Random Forest Algorithm
- Supervised Learning
Applied Machine Learning in Python
Completed by Maria Isabella Becerra Ramirez
May 18, 2021
31 hours (approximately)
Maria Isabella Becerra Ramirez's account is verified. Coursera certifies their successful completion of Applied Machine Learning in Python
What you will learn
Describe how machine learning is different than descriptive statistics
Create and evaluate data clusters
Explain different approaches for creating predictive models
Build features that meet analysis needs
Skills you will gain
