- Applied Machine Learning
- Predictive Modeling
- Random Forest Algorithm
- Supervised Learning
- Regression Analysis
- Python Programming
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Feature Engineering
- Decision Tree Learning
- Dimensionality Reduction
Applied Machine Learning in Python
Completed by AADIL RAFIQ
September 15, 2020
31 hours (approximately)
AADIL RAFIQ'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
