- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Applied Machine Learning
- Artificial Neural Networks
- Predictive Modeling
- Feature Engineering
- Decision Tree Learning
- Machine Learning
- Supervised Learning
- Regression Analysis
- Classification Algorithms
- Random Forest Algorithm
Applied Machine Learning in Python
Completed by Julián Alberto Uribe Gómez
July 1, 2020
31 hours (approximately)
Julián Alberto Uribe Gómez'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
