- Python Programming
- Decision Tree Learning
- Predictive Modeling
- Machine Learning
- Artificial Neural Networks
- Scikit Learn (Machine Learning Library)
- Regression Analysis
- Unsupervised Learning
- Random Forest Algorithm
- Classification Algorithms
- Applied Machine Learning
- Supervised Learning
Applied Machine Learning in Python
Completed by Blessey Maria Saju
August 17, 2020
31 hours (approximately)
Blessey Maria Saju'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
