- 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 Vipul Dattatraya Doiphode
February 8, 2022
31 hours (approximately)
Vipul Dattatraya Doiphode'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
