- Data Visualization Software
- Classification Algorithms
- Model Evaluation
- Matplotlib
- Machine Learning
- Data Analysis
- Data Preprocessing
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Predictive Modeling
- Exploratory Data Analysis
- Pandas (Python Package)
Cervical Cancer Risk Prediction Using Machine Learning
Completed by Xuan Nguyen
July 21, 2021
1 hours (approximately)
Xuan Nguyen's account is verified. Coursera certifies their successful completion of Cervical Cancer Risk Prediction Using Machine Learning
What you will learn
Understand the theory and intuition behind XGBoost Algorithm
Preform exploratory data analysis
Develop, train and evaluate XG-Boost classifier model using Scikit-Learn
Skills you will gain
