Over 1,000 university students in Africa participate in data science competition
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UmojaHack Africa 2021 brought more than 1,000 students from 126 universities across Africa to compete on Zindi, in a virtual machine learning hackathon on the weekend of 27th-28th March. More than Ksh. 1,075,000 ($10,000) in prizes were awarded to data science students from 9 African countries, and more than 8,500 submissions were made to solve three real-world machine learning challenges on Zindi.
Students from 21 African countries joined the event, representing Kenya, Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe.
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UmojaHack Africa 2021 was an unprecedented success, bringing more than 1000 students from 126 universities across Africa to compete on Zindi (www.Zindi.africa) in a virtual machine learning hackathon on the weekend of 27-28 March. More than $10 000 USD in prizes were awarded to data science students from 9 African countries, and more than 8500 submissions were made to solve three real-world machine learning challenges on Zindi.
Students from 21 African countries joined the event, representing Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Kenya, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe.
UmojaHack Africa 2021 was an unprecedented success, bringing more than 1000 students from 126 universities across Africa to compete on Zindi (www.Zindi.africa) in a virtual machine learning hackathon on the weekend of 27-28 March. More than $10 000 USD in prizes were awarded to data science students from 9 African countries, and more than 8500 submissions were made to solve three real-world machine learning challenges on Zindi.
Students from 21 African countries joined the event, representing Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Kenya, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe.
They participated in three different machine learning challenges: a financial resilience prediction challenge, a logistics challenge for African B2B service provider Sendy (www.Sendyit.com), and a computational biology challenge using the DeepChain™ (www.DeepChain.bio) platform developed by InstaDeep