Practicas usando HTML5, CSS3, Responsive-design, Framework css, Preprocesadores (Prepro, scss, sass, etc).

Wrangling WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations. The Twitter archive is great, but it only contains very basic tweet information.I made additional gathering, then assessing and cleaning to get a "Wow!"-worthy analyses and visualizations.

Salary_Hike_Dataset

Airlines Dataset by Clustering

Information Retrieval Course - Assignment - Naïve Bayes Classifier

Bag of words preprocessing for a set of labeled web pages

Reporting and Preprocessing are daunting and time-consuming tasks. This web application helps us in preparing the report without any coding and provides the preprocessed data set.

Web design assignment to the "IT - Tech for Women" course. First time using Sass/Scss and preprocessing css. Used the "Prepros" preprocessor.

Trained a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.

Data preprocessing and classification for the detection of fraudulent transactions

Bloc 3 : Analyse prédictive de données structurées par l'intelligence artificielle

Generated own Simpsons TV scripts using RNNs.

A comprehensive project for data exploration and visualization

FIMUS imputes numerical and categorical missing values by using a data set’s existing patterns including co-appearances of attribute values, correlations among the attributes and similarity of values belonging to an attribute.

Delivery_Time

Classifying Reddit comments that are about physics, chemistry and biology using NLTK

This repository will explain a set of data mining labs to make you familiar with the machine learning process.

Classified images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset was preprocessed, then trained a convolutional neural network on all the samples. I normalized the images, one-hot encoded the labels, built a convolutional layer, max pool layer, and fully connected layer.

These are my projects for the natural language processing course.

Binary Classification in R and application to classify patients with diabetes