Zimnat wants an ML model to use customer data to predict. Which is the week7 challenge given at 10academy
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Updated
Sep 6, 2020 - Jupyter Notebook
Zimnat wants an ML model to use customer data to predict. Which is the week7 challenge given at 10academy
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.
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.
Ist Place Solution
Zindi hackathon
Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.
Logistics in Sub-Saharan Africa increases the cost of manufactured goods by up to 320%; while in Europe, it only accounts for up to 90% of the manufacturing cost. Economies are better when logistics is efficient and affordable. Sendy, in partnership with insight2impact facility, is hosting a Zindi challenge to predict the estimated time of deliv…
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
competition | bert-base-uncased
Social Media Prediction Challenge. A model to predict the number of retweets a tweet will get on Twitter.
Classify audio utterances in Luganda and English from Uganda.
Crop damage classification
Code related participated ML hackathons
Tunisian Arabizi dialect sentiment analysis
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.
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