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Marcelo-R-Mendonca

Build Setup

# install dependencies
$ npm install

# serve with hot reload at localhost:3000
$ npm run dev

# build for production and launch server
$ npm run build
$ npm run start

# generate static project
$ npm run generate

For detailed explanation on how things work, check out Nuxt.js docs.

Marcelo Mendonca's Projects

data-science-for-digital-marketing icon data-science-for-digital-marketing

The intention of this project is to create a machine learning model to predict the performance of email marketing campaigns. This is the final coursework of the course "Data Science for Digital Marketing" from Southampton Data Science Academy.

deep-learning-image-classification icon deep-learning-image-classification

In this project, I classified images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset is preprocessed, then a convolutional neural network is trained on all the samples. I normalized the images, one-hot encoded the labels, built a convolutional layer, max pool layer, and fully connected layer. At then end, I present their predictions on the sample images.

deep-learning-language-translation icon deep-learning-language-translation

In this project, I take a peek into the realm of neural network machine translation. I trained a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.

instapy icon instapy

📷 Instagram Bot - Like/Comment/Follow Automation Script

recipes icon recipes

This repository is part of Udacity's Git & GitHub course.

tv-scripts-generation icon tv-scripts-generation

In this project, I generated Simpsons TV scripts using RNNs. I used part of the Simpsons dataset of scripts from 27 seasons. The Neural Network generates a new TV script for a scene at Moe's Tavern.

webwhatsapp-wrapper icon webwhatsapp-wrapper

An API for sending and receiving messages over web.whatsapp [Working as of 18th May 2018]

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