- Data Preprocessing
- Supervised Learning
- Model Evaluation
- Data Analysis
- Regression Analysis
- Feature Engineering
- Logistic Regression
- Statistical Modeling
- Predictive Modeling
- Statistical Analysis
- Machine Learning Methods
- Exploratory Data Analysis
Regression Analysis
Completed by Rodrigo Alvarado Cantú
July 1, 2024
40 hours (approximately)
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What you will learn
Understand the principles and significance of regression analysis in supervised learning.
Implement cross-validation methods to assess model performance and optimize hyperparameters.
Comprehend ensemble methods (bagging, boosting, and stacking) and their role in enhancing regression model accuracy.
Skills you will gain
