- Scikit Learn (Machine Learning Library)
- Random Forest Algorithm
- Machine Learning
- Feature Engineering
- Applied Machine Learning
- Regression Analysis
- Python Programming
- Classification Algorithms
- Predictive Modeling
- Unsupervised Learning
- Artificial Neural Networks
- Supervised Learning
Applied Machine Learning in Python
Completed by Mustapha Amine RAHMANI
September 1, 2020
31 hours (approximately)
Mustapha Amine RAHMANI'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
