Raoul MISSODEY’s Post

View profile for Raoul MISSODEY, graphic

Researcher in training | Computer Vision

𝑪𝒂𝒏 𝒚𝒐𝒖 𝒑𝒓𝒆𝒅𝒊𝒄𝒕 𝒘𝒉𝒊𝒄𝒉 𝒉𝒐𝒖𝒔𝒆𝒉𝒐𝒍𝒅𝒔 𝒂𝒏𝒅 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝒘𝒊𝒍𝒍 𝒉𝒂𝒗𝒆 𝒇𝒊𝒃𝒆𝒓 𝒐𝒑𝒕𝒊𝒄𝒔 𝒂𝒄𝒄𝒆𝒔𝒔? By analyzing tabular data containing socio-demographic and geographic information, we proposed a machine learning solution to predict Fiber To The Home (FTTH) internet uptake across various segments in Togo. The models, both accurate and generalizable, created under this project of the Ministère de l'Économie Numérique et de la Transformation Digitale, Togo, will help the government improve connectivity, allocate resources efficiently, and foster digital inclusivity. The competition was held on Zindi. After reviewing the winning solutions, my proposed method achieved the best private score, securing first place. Thanks to all participants and congratulations to the winners. Zindi Ministère de l'Économie Numérique et de la Transformation Digitale, Togo Agence Togo Digital Togocom Officiel INSTITUT NATIONAL DE LA STATISTIQUE ET DES ETUDES ECONOMIQUES #ML #AI #TabularModel #TabularData

  • No alternative text description for this image
Kodjo Mawuena Amekoe

Data Scientist| Fraud detection| PhD Candidate| Ex MVA

5mo

Congratulations Raoul!!!

Like
Reply
Amouzou KEVO

Oracle Certified Professional Generative IA | Computer Vision | GenAI | LLM | RAG | LLMOps

5mo

Félicitations frérot

Dzudzogbe Prince Armand KOUMI

Master’s Stud.in Agri-Data | FXB Climate Advocate '24 | AWS AI & ML Scholar '23 | Alumni NextGen Leaders Program| Data Scientist | AI Evangelist | Tech for Social Impact Enthusiast | UAVs Telepilote (CATS|STS-01/02)

4mo

Congrats chef Raoul MISSODEY

See more comments

To view or add a comment, sign in

Explore topics