- Applied Machine Learning
- Regression Analysis
- Random Forest Algorithm
- Scikit Learn (Machine Learning Library)
- Classification Algorithms
- Python Programming
- Feature Engineering
- Decision Tree Learning
- Model Evaluation
- Machine Learning
- Supervised Learning
- Artificial Neural Networks
Applied Machine Learning in Python
Completed by BUDDALA RAMANA VIDYA SAGAR
June 12, 2022
31 hours (approximately)
BUDDALA RAMANA VIDYA SAGAR'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
