Simple Linear Regression is a statistical method used to model the relationship between a dependent variable and a single independent variable. It predicts the dependent variable's values based on the independent variable's values, quantifying the strength and direction of the relationship through a linear equation.

Presentation on Simple Linear Regression

Simple Linear Regression with ggplot and plotly

2nd Assignment for CSS 204.

This project utilized XGBoost, a powerful and scalable machine learning algorithm, to build a binary classification model. The dataset required significant preprocessing steps, including handling missing data through Multiple Imputation by Chained Equations (MICE) and applying robust scaling to address variability and outliers in the features.

mi primera vez

Examine a dataset

Ejercisio numero 3 Diseño Experimental