ajaxclopidia Goto Github PK

ajaxclopidia

Config files for my GitHub profile.

dsn_ai_bootcamp_qualification

The Random Forest Algorithm

dsn_expresso_churn_hackathon

Data science Nigeria Hackathons

k-means-clustering

The K-Means-Clustering Algorithm

knn

The K-Nearest-Neighbor Algorithm

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

nlp

The Natural language Processing Algorithm

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

regression-analysis

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: https://zindi.africa/hackathons/dsn-ai-bootcamp-qualification-hackathon). 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