- Classification And Regression Tree (CART)
- Predictive Modeling
- Data Visualization
- Data Presentation
- Model Evaluation
- Applied Machine Learning
- Machine Learning Methods
- Deep Learning
- Python Programming
- Predictive Analytics
- Artificial Neural Networks
- Machine Learning Algorithms
Diabetes Disease Detection with XG-Boost and Neural Networks
Completed by İrem Eker
June 2, 2024
2 hours (approximately)
İrem Eker's account is verified. Coursera certifies their successful completion of Diabetes Disease Detection with XG-Boost and Neural Networks
What you will learn
Build, Train and Test XG-Boost and Artificial Neural Networks Model
Train an ANN and XG-Boost algorithms to solve classification type problems
Perform Data Visualization and Exploratory Data Analysis
Skills you will gain
