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/AI16TECH
abofficial444/codelagoslogin
Allows username and password easy login access and denial of incorrect entry
abofficial444/Data-science-NG-
simple machine learning task
abofficial444/Data-science-staff-promotion-kaggle
120th/530th; To predict who is likely to be promoted
abofficial444/Financial-Inclusion-in-Tunisia-AI-TUNISIA-HACK-2019-
prequalification to biggest AI hackathon challenge in tunis 2019
abofficial444/Food-Delivery-Time
A Regression problem to predict food delivery time from a location to another in india, [Hosted on MachineHack platform]
abofficial444/Machine-Learning-models
AI trained model
abofficial444/mortgage-loan-approval
predicting loan approval from government data hosted by microsoft
abofficial444/3rd-place-solution-BUSARA-CHALLENGE
abofficial444/calcSlopeDegrees
A Python script to calculate slope from a DEM.
abofficial444/car-price-predictor
abofficial444/competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
abofficial444/datasist
Datasist abstract numerous techniques and functions used repeatedly in Data Science and Machine Learning.
abofficial444/empirical-study-of-ensembles-research
A Research work on Ensemble techniques
abofficial444/EPLPredict
abofficial444/kaggle-porto-seguro
2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
abofficial444/ML
Codes related to various ML Hackathons
abofficial444/ML-Week3
abofficial444/population-stability-index
Python implementation of the population stability index (PSI)
abofficial444/Predicting-Food-Delivery-Time---Hackathon-by-IMS-Proschool-MachineHack-
AIR 2 / 1450
abofficial444/RL-Quadcopter-2
abofficial444/Sendy-Logistic-Challenge
ranked 46th out of 431st; A Machine learning challenge hosted on zindi platform to predict riders time of arrival in Nairobi
abofficial444/Sendy-Logistics-Challenge
This challenge aims to predict the estimated time of delivery of orders, from the point of driver pickup to the point of arrival at final destination.
abofficial444/superstore-receipt-java-SE-
A simple receipt programmed on java environment
abofficial444/Udacity-Data-Engineering
Udacity Data Engineering Nano Degree (DEND)
abofficial444/Wazihub-moisture-Challenge
Time series forcasting for Peanut and Maize farming for a given period of time
abofficial444/Winning-Solution-Of-The-Traffic-Jam-Predicting-People-s-Movement-into-Nairobi-
Winning Solution of the traffic jam predicting people's movement into Nairobi challenge hosted on Zindi platform