- Data Analysis
- Scikit Learn (Machine Learning Library)
- Data Manipulation
- NumPy
- Classification And Regression Tree (CART)
- Machine Learning
- Data Import/Export
- Exploratory Data Analysis
- Pandas (Python Package)
- Predictive Modeling
- Matplotlib
- Applied Machine Learning
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
