- Feature Engineering
- Machine Learning
- Decision Tree Learning
- Scikit Learn (Machine Learning Library)
- Random Forest Algorithm
- Applied Machine Learning
- Supervised Learning
- Regression Analysis
- Python Programming
- Unsupervised Learning
- Predictive Modeling
- Dimensionality Reduction
Applied Machine Learning in Python
Completed by Olohireme Omoefe Ajayi
May 30, 2021
31 hours (approximately)
Olohireme Omoefe Ajayi'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
