Bag of words preprocessing for a set of labeled web pages

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.

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

Generated own Simpsons TV scripts using RNNs.

This repository is for Fake News Detection using Deep Learning models

DEMS analysis part (ETL, Modeling, Predict)

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

Identify Customer Segments - An Udacity Project

LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings

MBIT Big Data 2019-2020 Data Preprocessing with Python (DC-03 TP-01)

Udacity Natural Language Processing Nanodegree.

A quick reference guide for creating prediction models using R caret.

Data preprocessing and classification for the detection of fraudulent transactions

This is a prediction project using a variety of regression models: linear regression, random forest regression, ridge, regression, SVR regression, light gbm regression.

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.

A comprehensive project for data exploration and visualization

These are my projects for the natural language processing course.

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

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

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