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/-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”
Mosh094/-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.
Mosh094/70_Days_of_Data_Science
This repository presents codes from my 70 days of data science challenge with Data Science Nigeria
Mosh094/70_Days_of_DataScience
This repository presents codes from my 70 days of data science challenge with Data Science Nigeria
Mosh094/App4
Mosh094/data-science-projects
A Collection of Data Science/ML Projects
Mosh094/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
Mosh094/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.
Mosh094/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/GADS2020-Roadmap
A roadmap for learners in the Google Africa Developer Scholarship on Pluralsight
Mosh094/Hamoye_Intenship
This repository contains details of my activities during the Hamoye intenship program
Mosh094/Logistc_Regression_for_the_Detection_of_Malicious_URLs
Logistic Regression Model for the Detection of Malicious URLs
Mosh094/Malicious_Url_Prediction_App
A Streamlit app deployed on Heroku
Mosh094/Salary-Prediction
Linear Model to predict salary based on experience
Mosh094/Terraform-Crash-Course
Mosh094/Zimnat-Insurance-Recommendation-Challenge
DATA PREPARATION
Mosh094/amazon-personalize-samples
Notebooks and examples on how to onboard and use various features of Amazon Personalize
Mosh094/data-engineering-zoomcamp
Free Data Engineering course!
Mosh094/educka
Mosh094/Edureka-Project
Project for the completion of the Edureka/Purdue University's Devops Post Graduate Program
Mosh094/Homoye_2021
Stage 2
Mosh094/labs
Mosh094/llm-zoomcamp
LLM Zoomcamp - a free online course about building a Q&A system
Mosh094/LLMOps-Zoomcamp
Mosh094/mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
Mosh094/mlops-zoomcamp
Free MLOps course from DataTalks.Club
Mosh094/MultiLabel_Classification_Project
Mosh094/Purdue_Edureka
Mosh094/samplejavaapp
Mosh094/Version-ctrl-with-git