Releases: millerhorvath/PEL208-Special_Learning_Topics
7th deliverable - Multilayer Perceptron
This repository was developed as an assignment for PEL208 (Special Learning Topics), which is a lecture of Centro Universitário FEI graduate program, presented by Prof. Phd. Reinaldo Augusto da Costa Bianchi.
The goal of this assignment is to write the code of Multilayer Perceptron model, as discussed in class.
This code was written in Python programming language.
The pandas and numpy modules have been used to manage data and compute matrix operations.
6th deliverable - Perceptron
This repository was developed as an assignment for PEL208 (Special Learning Topics), which is a lecture of Centro Universitário FEI graduate program, presented by Prof. Phd. Reinaldo Augusto da Costa Bianchi.
The goal of this assignment is to write the code of Perceptron model, as discussed in class.
This code was written in Python programming language.
The pandas and numpy modules have been used to manage data and compute matrix operations.
5th deliverable - Naive Bayes Classification
This repository was developed as an assignment for PEL208 (Special Learning Topics), which is a lecture of Centro Universitário FEI graduate program, presented by Prof. Phd. Reinaldo Augusto da Costa Bianchi.
The goal of this assignment is to write the code of Naive Bayes classification, as discussed in class.
This code was written in Python programming language.
The pandas and numpy modules have been used to manage data and compute basic math operations.
4th deliverable - k-Means Clustering
This repository was developed as an assignment for PEL208 (Special Learning Topics), which is a lecture of Centro Universitário FEI graduate program, presented by Prof. Phd. Reinaldo Augusto da Costa Bianchi.
The goal of this assignment is to write the code of k-Means, as discussed in class.
This code was written in C++ programming language.
The Eigen library has been used to compute linear algebra operations.
3rd deliverable - Linear Discriminant Analysis
This repository was developed as an assignment for PEL208 (Special Learning Topics), which is a lecture of Centro Universitário FEI graduate program, presented by Prof. Phd. Reinaldo Augusto da Costa Bianchi.
The goal of this assignment is to write the code of LDA, as discussed in class.
This code was written in C++ programming language.
The Eigen library has been used to compute linear algebra operations and compute the eigenvalues and eigenvectors.
2nd deliverable - Principal Component Analysis
This repository was developed as an assignment for PEL208 (Special Learning Topics), which is a lecture of Centro Universitário FEI graduate program, presented by Prof. Phd. Reinaldo Augusto da Costa Bianchi.
The goal of this assignment is to write the code of PCA, as discussed in class.
This code was written in C++ programming language.
The Eigen library has been used to compute linear algebra operations and compute the eigenvalues and eigenvectors.
1st deliverable - Least Squares
This repository was developed as an assignment for PEL208 (Special Learning Topics), which is a lecture of Centro Universitário FEI graduate program, presented by Prof. Phd. Reinaldo Augusto da Costa Bianchi.
The goal of this assignment is to write the code of least squares regression, as discussed in class.
This code was written in C++ programming language.
Although the Eigen library has been used to compute basic linear algebra operations, one of the requirements of this assignment was writting a function to compute the inverse of a matrix.