- Random Forest Algorithm
- Feature Engineering
- Decision Tree Learning
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Artificial Neural Networks
- Regression Analysis
- Model Evaluation
- Python Programming
Applied Machine Learning in Python
Completed by Pablo Andrés Rodríguez Gil
May 15, 2022
31 hours (approximately)
Pablo Andrés Rodríguez Gil'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
