Extract information from the internet using Web Scraping in order to acquire datasets describing Rwanda's popularity. Perform an exploratory data analysis in order to visualize Rwanda's popularity growth.

Ktimez forum

For this project you will visualize time series data using a line chart, bar chart, and box plots. You will use Pandas, matplotlib, and seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits an…

Mucyo Fred blog

A collection of useful/essential gRPC Java Examples

Rwanda TVET Institutions Map, based off Bootleaf, Bootstrap and Leaflet

This project allow users to generate maps of district that have titles and name with color highlight

1603:16:646 🇷🇼

The "Rwanda-Traffic-Guide-Project" repository is a comprehensive web application designed to provide users with essential traffic information and guidance across Rwanda. Developed with a focus on enhancing road safety and efficiency, this project aims to offer real-time updates, route planning, and essential traffic regulations.

ontime font icons

Data Science project to analyze the Kenya Real Estate Market and create Machine Learning Models to predict prices.

Rwanda regions

Repository for B-Corp social enterprise operating in Rwanda with artisan-shoemakers, challenging the West to walk a mile in their shoes to more deeply understand poverty while sustainably crafting recycled-tire sandals.

This is a code for data cleaning and data analysis for a research paper.

An API providing extensive Rwanda's financial market data to support informed decision-making. The API offers real-time and historical market data, company fundamentals, technical indicators, corporate actions, and market news.

🌟scrape headlines from popular news websites

Complete source code and intermediary files to accompany the manuscript published in Nature Medicine.

At the end of the DSAA-Kulimi Rwanda Data Camp program, we offer this project to allow our learners to apply their Data Science knowledge and skills while contributing to one of the hottest topics related to the impact of COVID-19 on Climate Change worldwide.

📄 A research paper that demonstrates how cost-effective close-range photogrammetry would be of assistance to digitize cultural heritage in Rwanda

In this project, you will analyze a dataset of the global average sea level change since 1880. You will use the data to predict the sea level change through year 2050.