Agboola Mubarak's Projects
Udacity data visualization project : Investigate and analyze a dataset provided by Ford
The gaming industry is certainly one of the thriving industries of the modern age and one of those that are most influenced by the advancement in technology. With the availability of technologies like AR/VR in consumer products like gaming consoles and even smartphones, the gaming sector shows great potential. In this hackathon, you as a data scientist must use your analytical skills to predict the sales of video games depending on given factors. Given are 8 distinguishing factors that can influence the sales of a video game. Your objective as a data scientist is to build a machine learning model that can accurately predict the sales in millions of units for a given game.
The objective of this challenge is to create a machine learning model to predict which individuals are most likely to default on their loans, based on their loan repayment behaviour and ecommerce transaction activity.
Config files for my GitHub profile.
Given information describing various conditions surrounding a given labor group, the task is to predict whether the conditions are good or not.
the Ai saturday hacktahon project which was base on text
an analysis to identify species of leaves.
A Train Schedule Mobile App developed with Android
This challenge was designed by Data Science Nigeria specifically for the DSN Bootcamp 2018, which takes place 19-24 November 2019. Welcome to the DSN participants! After the Bootcamp, this competition will remain open to allow others in the Zindi community to learn and test their skills. Description of the challenge: Recently, there has been an increase in the number of building collapse in Lagos and major cities in Nigeria. Olusola Insurance Company offers a building insurance policy that protects buildings against damages that could be caused by a fire or vandalism, by a flood or storm. You have been appointed as the Lead Data Analyst to build a predictive model to determine if a building will have an insurance claim during a certain period or not. You will have to predict the probability of having at least one claim over the insured period of the building. The model will be based on the building characteristics. The target variable, Claim, is a: 1 if the building has at least a claim over the insured period. 0 if the building doesn’t have a claim over the insured period.
I developed 6 models that predicts the prices of cars in Nigeria based on independent variables like model, car type, color, location, distance travelled
This repository holds the assignments of the Course : HTML, CSS, and Javascript for Web Developers by Johns Hopkins University
Module 2 Solution
Practically deep learning!
A telegram bot for the identification of sickness
Predicting Doctor's consultation fee
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
predicting house prices in Nigeria, DSN hackathon 2023
Coursera module 5 solution
Module 3 assignment
The Unified Machine Learning Framework
Linear Regression
Logistic Regression
Public repo for DeepLearning.AI MLEP Specialization
1st place solution to Food Quality Inspection Check Hackathon conducted by MachineHack
My solutions to MachineHack weekend competitions
html, css and javascript coursera module 4 solution
Investigate a dataset with 14 features and 100k+ records to observe trends between features and how frequent they show up for appointment
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent