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Francis Adedayo Atoyebi photo

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followers: 14.0 following: 11.0 repos: 24.0 gists: 0.0

Name: Francis Adedayo Atoyebi

Type: User

Company: Kelloggs Nigeria/HOFT Developers

Bio: A curious mind and a student of Learning, interested in Data Analytics, Interactive Viz, Machine Learning and Deep Learning.

Twitter: FrancisAtoyebi

Location: Lagos, Nigeria

Hi there 👋

Welcome to my GitHub page!

  • 👯 I’m looking for collaborative projects and topics on:
    • Interactive Dashboard Projects using Python or Power BI
    • ML/NLP in Finance, Health or Social good
    • ML/NLP Deployment involving flask/heroku

Connect with me on these platforms:

drawing    drawing    drawing     

Francis Adedayo Atoyebi's Projects

bokeh icon bokeh

Interactive Data Visualization in the browser, from Python

books icon books

This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.

box-plots-sklearn icon box-plots-sklearn

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

francisatoyebi.github.io icon francisatoyebi.github.io

<div align="center"><img src="/Francis-Portfolio/Images/me.png" alt="Francis Atoyebi" width="50%"></div> <h1 align="center">Welcome</h1> <p align="center">A personal collection of some of my finest, most challenging and interesting projects! Enjoy!!! and I'll really appreciate your feedback.</p> <p align="center">You can reach me on <a href="https://twitter.com/FrancisAtoyebi">Twitter</a>, <a href="https://www.linkedin.com/in/francis-atoyebi">LinkedIn</a> or mail me at [email protected].</p>

nesg icon nesg

A volunteer job done with a team. Analysing Nigeria's historical data, coming up with insights and recommendations for the Nigerian government based on Economic growth.

unilorin-data-science-tutorials icon unilorin-data-science-tutorials

This repo contains the code I used to teach some of my friends who are new to Data Science about some basics of Data analysis and classification machine learning. Link to the YouTube videos I created for these lectures can be found here https://m.youtube.com/channel/UCxmWFjnVu-451aqSi3fp_KQ/videos

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