Pinned Repositories
Akeed-Restaurant-Recommendation-Challenge
7th Place, The objective of this competition is to build a recommendation engine to predict what restaurants customers are most likely to order from given the customer location, restaurant information, and the customer order history. This solution will allow Akeed, an app-based food delivery service in Oman, to customise restaurant recommendations for each of their customers and ensure a more positive overall user experience. About Akeed (akeedapp.com):
Akeed-Restaurant-Recommendation-Challenge_getting_train-test
A quick notebook to get the train and test set.
KOWOPE
3rd Place. 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. To achieve this, the company has partnered with DSBank on co-branded credit card with additional functionality such that customers can request for loan, pay for goods even with zero-balance and then pay back within an agreed period of time. This innovative strategy has increased sales for the company. However, there has been recent cases of credit defaults and Kowope Mart will like to have a system that profiles customers who are worthy of the card with minimum if not zero risk of defaulting. You have been employed as a Data Scientist to leverage Machine learning to predict customers who are likely to default or not. This is Qualification Competition for the Data Science Nigeria AI Bootcamp.
Lerato
A Retrieval based bot that responds to basic question about Zindi Africa- using cosine similarity between words entered by the user and the words in the corpus. We 'll define a function response which searches the user’s utterance for one or more known keywords and returns one of several possible responses. If it doesn’t find the input matching any of the keywords, it returns a response:” I am so sorry! I dont understand your words"
PRJ1-Flower_Breed-Analytics
To build a model that will help predict the flowers breed correctly for production purposes. this solution will help ABC to reduce cost, time and resources.
Product-Recommendation--ALS--FlaskApp
Machine Learning Product recommendation as an API & as a WEB app
Standard-Bank-Tech-Impact-Challenge
3rd Place, Predict the likelihood of credit default of ecommerce clients
Taxi_MLOps
Operationalizing Machine Learning models using TLC Trip Record Data
Urban-Air-Pollution-Challenge-by-ZindiWeekendz
You may have seen recent news articles stating that air quality has improved due to COVID-19. This is true for some locations, but as always the truth is a little more complicated. In parts of many African cities, air quality seems to be getting worse as more people stay at home. For this challenge we’ll be digging deeper into the data, finding ways to track air quality and how it is changing, even in places without ground-based sensors. This information will be especially useful in the face of the current crisis, since poor air quality makes a respiratory disease like COVID-19 more dangerous. We’ve collected weather data and daily observations from the Sentinel 5P satellite tracking various pollutants in the atmosphere. Your goal is to use this information to predict PM2.5 particulate matter concentration (a common measure of air quality that normally requires ground-based sensors to measure) every day for each city. The data covers the last three months, spanning hundreds of cities across the globe.
Zimnat-Insurance-Recommendation-Challenge
Sample data preparation on insurance recommendation challenge
abofficial444's Repositories
abofficial444/KOWOPE
3rd Place. 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. To achieve this, the company has partnered with DSBank on co-branded credit card with additional functionality such that customers can request for loan, pay for goods even with zero-balance and then pay back within an agreed period of time. This innovative strategy has increased sales for the company. However, there has been recent cases of credit defaults and Kowope Mart will like to have a system that profiles customers who are worthy of the card with minimum if not zero risk of defaulting. You have been employed as a Data Scientist to leverage Machine learning to predict customers who are likely to default or not. This is Qualification Competition for the Data Science Nigeria AI Bootcamp.
abofficial444/Product-Recommendation--ALS--FlaskApp
Machine Learning Product recommendation as an API & as a WEB app
abofficial444/Akeed-Restaurant-Recommendation-Challenge_getting_train-test
A quick notebook to get the train and test set.
abofficial444/Standard-Bank-Tech-Impact-Challenge
3rd Place, Predict the likelihood of credit default of ecommerce clients
abofficial444/Akeed-Restaurant-Recommendation-Challenge
7th Place, The objective of this competition is to build a recommendation engine to predict what restaurants customers are most likely to order from given the customer location, restaurant information, and the customer order history. This solution will allow Akeed, an app-based food delivery service in Oman, to customise restaurant recommendations for each of their customers and ensure a more positive overall user experience. About Akeed (akeedapp.com):
abofficial444/PRJ1-Flower_Breed-Analytics
To build a model that will help predict the flowers breed correctly for production purposes. this solution will help ABC to reduce cost, time and resources.
abofficial444/Taxi_MLOps
Operationalizing Machine Learning models using TLC Trip Record Data
abofficial444/Sentiment-Analysis-of-Tweets-for-Mental-Health-Prediction
abofficial444/Fraud-Detection-Model
Day 1 to 5 notebook of building a simple fraud detection model
abofficial444/Meet-Up-Documentations
abofficial444/Recommedation-Engine
Content based - using cosine similarities
abofficial444/abofficial444
abofficial444/ar-cutpaste
Cut and paste your surroundings using AR
abofficial444/cAtaman
abofficial444/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
abofficial444/Character-control-using-body-posture
abofficial444/DASHBOARD---XENTE-FRAUD
A complete projects that points to the descriptive, diagnostic, prescriptive and predictive analysis; with reference to intelligence dashboards using Microsoft powerBI
abofficial444/dbt-project-path
abofficial444/deepchecks
Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
abofficial444/EXCELLENT-STORE
“The Excellent Store”, is a leading indigenous chain of stores with headquarters in Gbagi, Oyo, Nigeria. At the core of their business is a strong sense of excellence and entrepreneurial value. And this is evident in all their 1,500 products, available to all segments of the population at customer-friendly prices, across 10 stores in different cities of Nigeria. The CEO of the company, Chief A. A. Babatunji, plans to expand the chain of stores to more Nigerian cities in 2021. However, as the COVID19 restrictions have affected the retail business, he sees the need to better understand which products return higher profits at specific stores so as to inform the expansion plan. You have been engaged as the new Retail Data Analyst to build a predictive model and find out the profit returns on each product at a particular store. The scenario he sees is where a brand of juice sold for N250 in one of his store branches may also be sold at N230 at another store within Chief Babatunji's chain of stores. He needs to therefore understand what type of product, market clusters and store type (location, age, size) will give more profit returns as he plans to expand to more cities in the country.
abofficial444/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
abofficial444/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
abofficial444/GIZ-AUDIO-SIGNAL-ANALYSIS
Analysis for classify audio utterances in Luganda and English from Uganda
abofficial444/insurance-demo
Building a bot to handle general tasks for insurance.
abofficial444/ML_Final_Error_Correction
Machine Learning Class Final on Preposition Error Correction
abofficial444/MLOps-Project-Xente
Adopting MLOps workflow to build, test, deploy and monitor data drift in real time as web app leveraging the use of Azure ML and MLflow
abofficial444/mlops-zoomcamp
Free MLOps course from DataTalks.Club
abofficial444/mslearn-aml-labs
Azure Machine Learning Lab Notebooks
abofficial444/pg2dm-python
abofficial444/PRJ2-Customer_Segmentation
A solution to segment customers based on their recency, frequency and monetary activities