Pinned Repositories
-DSN-Pre-Bootcamp-Hackathon-The-Excellent-Store-Challenge
The project is aimed at predicting and find out the profit returns on each product at a particular store or branch of “The Excellent Store”
-Zimnat-Insurance-Recommendation-Challenge
The project challenge: for around 10,000 customers in the test set, you are given all but one of the products they own, and are asked to make predictions around which products are most likely to be the missing product. This same model can then be applied to any customer to identify insurance products that might be useful to them given their current profile.
70_Days_of_Data_Science
This repository presents codes from my 70 days of data science challenge with Data Science Nigeria
70_Days_of_DataScience
This repository presents codes from my 70 days of data science challenge with Data Science Nigeria
Andrew-Ng-Machine-Learning-Programming-solutions-
open course on coursera.org Stanford University
App4
data-science-projects
A Collection of Data Science/ML Projects
DSN-AI-Bootcamp-Qualification-Hackatho-Kowope-Mart
The project is aimed at building a Machine learning to predict customers who are likely to default or not
Expresso-Churn-Prediction
Expresso is an African telecommunications company that provides customers with airtime and mobile data bundles. The objective of this challenge is to develop a machine learning model to predict the likelihood of each Expresso customer “churning,” i.e. becoming inactive and not making any transactions for 90 days. This solution will help Expresso to better serve their customers by understanding which customers are at risk of leaving.
Expresso-Churn-Prediction_App
Expresso is an African telecommunications company that provides customers with airtime and mobile data bundles. The objective of this challenge is to develop a machine learning model to predict the likelihood of each Expresso customer “churning,” i.e. becoming inactive and not making any transactions for 90 days. This solution will help Expresso to better serve their customers by understanding which customers are at risk of leaving.
Mosh094's Repositories
Mosh094/Andrew-Ng-Machine-Learning-Programming-solutions-
open course on coursera.org Stanford University
Mosh094/Yomi