The pan-African website for the @CodeForAfrica's digital skills academy programme. The site is accessible at https://academy.africa/
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Updated
Sep 9, 2024 - CSS
The pan-African website for the @CodeForAfrica's digital skills academy programme. The site is accessible at https://academy.africa/
sensors.AFRICA is a citizen-science focused project by Code for Africa that seeks to address data gaps by providing low cost sensors, which people can use to measure and monitor the quality of the air, water, and sound in their communities.
My solution for the AT/NBO county Traffic Hthon at NBO pry
In this project, I conducted an Exploratory Data Analysis (EDA) on apartment prices in Kenya, with a primary focus on the vibrant housing market in Nairobi. The goal was to unveil critical insights and patterns within the dataset, shedding light on factors influencing apartment prices.
Data Science Communities in Kenya
This code is written for study "The Interaction between Population Age Structure and Policy Interventions on the Spread of COVID-19"
AlmaBetter Capstone Project -Machine Learning Project type: Regression. This challenge asks you to build a model that predicts the number of seats that Mobiticket can expect to sell for each ride
This is a Data visualisation tool, multipurpose data visualization tool that addresses the limitations i've seen in other alternatives according to the presentation i gave.
The Ch! is a fictional pizza house with multiple locations in Nairobi and this web app allows users to make orders. The app has a variety of pizzas to choose from with various options of size, toppings and crust. The user can also request for delivery of the pizza and can order as many pizzas as he or she wishes. For this version, only one pizza…
The sensors.AFRICA map showing data from air quality sensors deployed across the continent. Accessible at https://map.aq.sensors.africa/
A Geospatial Analysis of social places and amenities for Nairobi extracted via the google places API and combined with social economic datasets.
A predictive model using traffic data provided from Uber Movement and historic bus ticket sales data from Mobiticket to predict the number of tickets that will be sold for buses into Nairobi from cities in "up country" Kenya.
A lane detection algo applied to Nairobi roads in Kenya | PyconKE
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