This GitHub repository presents our solution to the International Telecommunication Union (ITU) 5G Energy Consumption Modeling Challenge hosted on Zindi. The challenge addresses concerns over the energy consumption of 5G network deployments, despite being more energy-efficient than 4G networks.

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

classifying malaria parasites in blood slide images.

Solution to busara mental health prediction competition on zindi africa http://zindi.africa/competitions/busara-mental-health-prediction-challenge

competition | bert-base-uncased

This repo contains material for the zindi hackathon

An aggregation of all my Data Science challenges, studies, projects... from Kaggle / ENS Data Challenges / Zindi - various ML tasks : regression / classification / computer vision / N.L.P / recommendation engine

Tunisian Arabizi dialect sentiment analysis

Social Media Prediction Challenge. A model to predict the number of retweets a tweet will get on Twitter.

Crop damage classification

Create a machine-learning algorithm that counts the number of grass-thatch, tin and other roofed houses in aerial (drone) imagery.

An other year, an other Kaggle public kernels on all kind of topics, but also with Zindi & E.N.S challenges :)

Map Covid-19 vulnerabilities in south africa using machine learning on old data.

The Zimnat Insurance Assurance Challenge by #ZindiWeekendz - Predict when an insurance policy will lapse in Zimbabwe

Zimnat wants an ML model to use customer data to predict. Which is the week7 challenge given at 10academy

This is a series of My Annual Hashcodes(By google) coding competitions that I've taken part in, from 2021

This project includes sentiment analysis using deep learning with TensorFlow framework, written in Python. It is licensed under the MIT license.

5th Place Solution

Machine Learning model to create an optimized ambulance deployment strategy in Nairobi.