Predicting election corruption in Africa using machine learning and deep learning
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Could machine learning and deep learning be used to better understand corruption in Africa ?
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Could machine learning and deep learning be used to better understand corruption in Africa ?
Published:
Details of my solution ranked in top 14% (24 / 179) at a hackathon which goal were to predict areas with most risks of vulnerability for COVID-19 in South Africa
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Details of my solution ranked in top 14% (24 / 179) at a hackathon which goal were to predict areas with most risks of vulnerability for COVID-19 in South Africa
Published:
This post introduce machine learning techniques to overcome imbalance datasets with resampling methods.
Published:
Could machine learning and deep learning be used to better understand corruption in Africa ?
Published:
Machine learning can predict with an accuracy of 91% whether a person experienced at least once an election incentives or not in Niger.
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Details of my solution ranked in top 14% (24 / 179) at a hackathon which goal were to predict areas with most risks of vulnerability for COVID-19 in South Africa
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I’m glad to say that on September 17th, I successfully defended my Ph.D. thesis in computer science and machine learning and was awarded the title of doctor of Clermont Auvergne University. This is my path!
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I got the first place in data science olympics competition.
Published:
Machine learning can predict with an accuracy of 91% whether a person experienced at least once an election incentives or not in Niger.
Published:
Could machine learning and deep learning be used to better understand corruption in Africa ?
Published:
I’m glad to say that on September 17th, I successfully defended my Ph.D. thesis in computer science and machine learning and was awarded the title of doctor of Clermont Auvergne University. This is my path!
Published:
I got the first place in data science olympics competition.
Published:
This post introduce machine learning techniques to overcome imbalance datasets with resampling methods.
Published:
Could machine learning and deep learning be used to better understand corruption in Africa ?
Published:
Details of my solution ranked in top 14% (24 / 179) at a hackathon which goal were to predict areas with most risks of vulnerability for COVID-19 in South Africa
Published:
Machine learning can predict with an accuracy of 91% whether a person experienced at least once an election incentives or not in Niger.
Published:
Machine learning can predict with an accuracy of 91% whether a person experienced at least once an election incentives or not in Niger.
Published:
Machine learning can predict with an accuracy of 91% whether a person experienced at least once an election incentives or not in Niger.
Published:
I’m glad to say that on September 17th, I successfully defended my Ph.D. thesis in computer science and machine learning and was awarded the title of doctor of Clermont Auvergne University. This is my path!
Published:
This post introduce machine learning techniques to overcome imbalance datasets with resampling methods.