- Scikit Learn (Machine Learning Library)
- Model Evaluation
- Unsupervised Learning
- Random Forest Algorithm
- Supervised Learning
- Artificial Neural Networks
- Feature Engineering
- Decision Tree Learning
- Applied Machine Learning
- Machine Learning
- Predictive Modeling
- Regression Analysis
Applied Machine Learning in Python
Completed by Juan Manuel Cedeno Torres
October 5, 2022
31 hours (approximately)
Juan Manuel Cedeno Torres'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
