- Artificial Neural Networks
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Predictive Modeling
- Regression Analysis
- Python Programming
- Random Forest Algorithm
- Unsupervised Learning
- Classification Algorithms
- Supervised Learning
- Decision Tree Learning
- Model Evaluation
Applied Machine Learning in Python
Completed by Mohamed Mohamed Youssef
August 18, 2020
31 hours (approximately)
Mohamed Mohamed Youssef'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
