- Model Evaluation
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Regression Analysis
- Feature Engineering
- Artificial Neural Networks
- Predictive Modeling
- Applied Machine Learning
- Python Programming
- Decision Tree Learning
- Random Forest Algorithm
- Supervised Learning
Applied Machine Learning in Python
Completed by Ira Sriwulandari
January 25, 2025
31 hours (approximately)
Ira Sriwulandari'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
