Speaker identification project (voice classification) using Python and machine learning techniques, with libraries such as librosa and sklearn.

We'll build an LSTM-type recurrent neural network in PyTorch. The network will train character by character on a text, then generate new text character by character. We'll train with text from a book.

Image classification and object recognition using the CNN DenseNet and EfficientNet convolutional neural networks with the Frozen Model and the Coffe framework. Subsequently, using the CNN MobileNe…

A crime scene reconstruction is planned by stitching several photographs together to reproduce the events. The photographs were taken from different perspectives to capture the greatest amount of v…

Development and implementation of a leukocyte detection and counting algorithm for diagnosing malaria using the thick blood smear technique (thick blood smear imaging). The algorithm should general…

Aplicación movil del clima con Flutter

Aplicación movil destinada a llenar formularios internos de la compañia, tener mayor control en procesos de firmas y autenticación de los empleados.

The visual perception of a billboard, which suffers from lighting and noise issues, needs to be improved. Additionally, the billboard must be viewed frontally, which means the visual perspective mu…

Apply cleaning techniques to normalize text. Recognize elements of bag-of-words using TF and TF-iDF. Apply Naive-Bayes to classify texts and compare NB results with other algorithms.

Preprocesamiento tweets y texto

Identifying a Fruit in Good and Bad Condition. Using Python.

We will use support vector machines to determine whether a patient has heart disease. We will use data from [heart disease](https://archive.ics.uci.edu/ml/datasets/Heart+Disease) located in the [UC…

We used the nearest neighbor method for classification. First, we analyzed the Iris Dataset of flower species. Second, we analyzed survival rates in the Titanic tragedy using different values ​​of K.

Predicting human activity based on smartphone sensors

El objetivo es comparar el desempeño de diferentes modelos de aprendizaje automático en un problema de regresión. A saber, la predicción del precio de casas en una región de Estados Unidos, con bas…

The central objective of the project is to use a neural network to classify voice data based on the voice's sentiment: angry, sad, happy. Using Python (numpy, pandas, sklearn, torch).

Linear regression example in Python using Sklearn and other libraries