Analysis and Short-Term Forecast of Covid-19 Spread in Nigeria

In this work the objective was to understand outbreak of COVID-19 in Nigeria, I carryout a Comparison of the cases in Nigeria with other African Countries, Futhermore I carryout a Comparison with worst affected countries in Europe and America.

finally using four Machine Learning and Time Series Forecasting models I present a short-term forecast (June 4 -20th, 2020) of Covid-19 spread in Nigeria with minima RMSE.

Exploring Chinese Restaurants in Lagos, Nigeria

In this capstone stone project, I searched Chinese Restaurants in Lagos Using the Foursquare location data API.

This work will demostrate in details how to make calls to the Foursquare API, construct a URL to send a request to the API to search for a specific type of venues and to explore a particular venue, geographical location, and to get trending venues around a location. I will also, show how to use the visualization library, Folium, to visualize the results.

Machine Learning Model for Predicting Survivability of COVID-19 Patients

In this project I built machine learning models for the prediction and visualization of the significant factors that determine the survivability of COVID-19 patients. The prediction models are decision trees, logistic regression, gradient boosting, and logistic regression algorithms

The work is accepted and published as a book chapter by ELSEVIER in DATA SCIENCE FOR COVID-19 The model was implemented on IBM Cloud Using IBM Watson Studio