ID3 Decision Tree Classifier for Machine Learning along with Reduced Error Pruning and Random Forest to avoid overfitting

Movie Sentiment predictor using decision tree classifier and random forests.

Adaboost implementation for my artificial intelligence class

Assignments and Exercises implemented during undergrad

Implementation of the ID3 decision tree learning algorithm for classification of a property buyers data set

Abnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.

Repository containing solutions to given assignments as a part of the Introduction to Artificial Intelligence university course.

Implementation of several classification algorithms in Java. In addition to algorithms, it was necessary to implement tools for reading data, validation and evaluation metrices.

Implementing a decision tree data type for text classification.

SiMI imputes numerical and categorical missing values by making an educated guess based on records that are similar to the record having a missing value. Using the similarity and correlations, missing values are then imputed. To achieve a higher quality of imputation some segments are merged together using a novel approach.

Individual project on Decision Trees for the Curricular Unit of "Artificial Intelligence" @ FCUP, Porto

Project on Decision Trees for the Curricular Unit of "Artificial Intelligence" @ FCUP, Porto

Implementation from scratch of a ID3 Decision Tree

Machine learning library for classification tasks