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fborrasumh's Projects

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

aes icon aes

Developed an Automatic Essay Grading tool in Python that utilizes TensorFlow to build a Four-Layer feed-forward neural network. Additionally, by utilizing the Natural Language Tool Kit (NLTK) package, I built a regression model that incorporates features such as grammar and sentiment to grade test essay sets.

ai-odsc-workshop-2019 icon ai-odsc-workshop-2019

Materials for the workshop "Applications of NLP in EdTech" at Open Data Science Conference (West), 2019.

aitextgen icon aitextgen

A robust Python tool for text-based AI training and generation using GPT-2.

algorithms-for-dna-sequencing icon algorithms-for-dna-sequencing

Codes from Coursera's course Algorithms for DNA sequencing, part of genomic data science specialization offered by Johns Hopkins University

b8131-fall19-soccerpreds icon b8131-fall19-soccerpreds

Project developed within Sports Analytics' course at Columbia University in Fall 2019. This aims at building a supervised learning model for Premier League's soccer games outcomes.

bios8366 icon bios8366

Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

chatbot icon chatbot

Chatbot implementation using Cornell Movie Dialog Dataset in PyTorch.The bot can converse with the user and can answer the questions asked though it doesn't pass the Turing Test

covid-19 icon covid-19

Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

covid-19_gdl icon covid-19_gdl

Este Colab se puede usar como una introducción al modelado epidemiológico, uso el modelo SEIR (Suceptibles, Expuestos, Infectados y Recuperados) como base. Como ejemplo particular tome el caso de Jalisco, México.

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