- Artificial Neural Networks
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Predictive Modeling
- Regression Analysis
- Python Programming
- Random Forest Algorithm
- Unsupervised Learning
- Classification Algorithms
- Supervised Learning
- Decision Tree Learning
- Model Evaluation
Applied Machine Learning in Python
Completed by Juan Lucas Alberto Ibarra Sierra
June 22, 2020
31 hours (approximately)
Juan Lucas Alberto Ibarra Sierra'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
