- Predictive Modeling
- Model Evaluation
- Applied Machine Learning
- Pandas (Python Package)
- Matplotlib
- Machine Learning
- Data Visualization Software
- Scikit Learn (Machine Learning Library)
- Data Analysis
- Classification Algorithms
- Data Preprocessing
- Exploratory Data Analysis
Cervical Cancer Risk Prediction Using Machine Learning
Completed by Ritika Diddi
June 18, 2021
1 hours (approximately)
Ritika Diddi'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
