- Python Programming
- Model Evaluation
- Decision Tree Learning
- Predictive Modeling
- Random Forest Algorithm
- Regression Analysis
- Applied Machine Learning
- Artificial Neural Networks
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- Classification Algorithms
Applied Machine Learning in Python
Completed by Tanmoy Saikia
June 5, 2020
31 hours (approximately)
Tanmoy Saikia'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
