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covid19_sentiment_analysis

The projects aims to analyze the COVID-19 situation in Zambia based on twitter sentiments.

covid19za

COVID 19 Data and Dashboard for South Africa

data-science-crash-course

datastructures

ecz_bot

financial_inclusion_africa

Can you predict who in Africa is most likely to have a bank account?

jh-kaggle-util

Jeff Heaton's Kaggle Utilities

masakhane-mt

Machine Translation for Africa

masters_thesis_model_final

ml_zoom_camp

pycaret

An open source, low-code machine learning library in Python

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

sendy_logistics_challenge

sentiment_analysis

This notebook analyses santiments in a corpus by extracting keywords, removing punctuation marks and removes words whichare less important (stop words)

southafrica-covid19-vulnerabilitymap-challenge

The task was to predict the percentage of households that fall into a particularly vulnerable bracket - large households who must leave their homes to fetch water - using 2011 South African census data. Solving this challenge with machine learning proved that it was possible to use easy-to-measure stats to identify areas most at risk even in years when census data is not collected.

spark

Apache Spark - A unified analytics engine for large-scale data processing

tellopy

DJI Tello drone controller python package

tfidf_tutorial

TF-IDF, which stands for term frequency — inverse document frequency, is a scoring measure widely used in information retrieval (IR) or summarization. TF-IDF is intended to reflect how relevant a term is in a given document.

theruffiertest

ukuxhumana

Neural Machine Translation for South African Languages

wazihub_soil_moisture_prediction

The objective of this challenge is to accurately predict the soil moisture level multiple days in advance. This solution will help farmers prepare their irrigation schedules more efficiently

website

Website of digitalproductschool.io

zambia-2021-elections-prediction