- Feature Engineering
- Supervised Learning
- Artificial Neural Networks
- Regression Analysis
- Decision Tree Learning
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Random Forest Algorithm
- Classification Algorithms
- Python Programming
- Unsupervised Learning
- Machine Learning
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
