Ajaxclopidia/UmojaHack_Africa_2021

# Dsn_AI_Bootcamp_qualification This repository contains the 160th position solution for the Pre-Bootcamp hackathon organised by Data Science Nigeria (DSN) on Zindi. (link to hackathon: zindi.africa). Aim: Kowope Mart is a Nigerian-based retail company with a vision to provide quality goods, education and automobile services to its customers at affordable price and reduce if not eradicate charges on card payments and increase customer satisfaction with credit rewards that can be used within the Mall. Objective: To develop a predictive model that determines the likelihood to better predict customers who are likely to default or not. Packages Scikit learn Pandas Numpy Matplotlib Catboost Lightgbm Seaborn Evaluation: Logloss Private LB score: 0.844 Models The solution was built on two models - Catboost and lightgbm, and a weighted average of them, with the averaged model achieving a good performance on the private leaderboard. About Data science Nigeria Hackathons # UmojaHack_Africa_2021 This repository contains the 66th position solution for the Pre-Bootcamp hackathon organised by Data Science Nigeria (DSN) on Zindi. (link to hackathon: zindi.africa). Aim: This challenge asks you to build a machine learning model to predict which individuals across Africa and around the world are most likely to be financially resilient or not. Objective: To develop a predictive model that determines the likelihood of financial resilient. Packages Scikit learn Pandas Numpy Matplotlib Catboost Lightgbm Seaborn Evaluation: Logloss Private LB score: 0.8073 Models The solution was built on two models - Catboost and lightgbm, and a weighted average of them, with the averaged model achieving a good performance on the private leaderboard.