- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Artificial Neural Networks
- Unsupervised Learning
- Applied Machine Learning
- Regression Analysis
- Feature Engineering
- Model Evaluation
- Supervised Learning
- Decision Tree Learning
- Random Forest Algorithm
- Machine Learning
Applied Machine Learning in Python
Completed by Prasad Vijayakumar Jayasree
November 27, 2018
31 hours (approximately)
Prasad Vijayakumar Jayasree'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
