Machine Learning Projects

This repository contains a collection of machine learning projects that explore various predictive modeling techniques, ranging from supervised learning to clustering and regression. Below is a description of the included projects.

1. Analysis of a Tragedy

Objective

Predict the survival of passengers aboard the Titanic using variables such as gender, class, and ticket cost.

Algorithms Used

• Random Forest
• AdaBoost

2. Salary Clustering

Objective

Perform a clustering analysis on the salaries of various professions across 44 cities worldwide.

Algorithms Used

• PCA
• K-Means
• Dendrograms

3. Diamond Price Prediction

Objective

Predict the price of diamonds based on attributes such as carat, cut, color, and clarity using a decision tree model.

Algorithms Used

• Decision Tree (DecisionTreeClassifier)

4. Survival in the Intensive Care Unit (ICU)

Objective

Develop a decision tree-based model to predict the survival of ICU patients based on their vital signs, chronic diseases, and comorbidities.

Algorithms Used

• Decision Tree (DecisionTreeRegressor)

The coments in the code and the analysis are originally in spanish. I´ll upload an english version soon.