Thank you for coming.
Here are a few of the projects I have worked on. Go through them,kindly read the articles, see more about me or view my GitHub profile
CSA project on predicting laptop price
Help buyers make a decision on the best laptop to purchase by providing their preferred OS, screen size, RAM and storage preference.
Lagos Rent Prediction Web app (EazyRent)
Scrape data for rental apartments in Lagos from PropertyPro and Nigeria Property Centre and then develop a machine learning model that helps house seekers in Lagos have an idea of how much it would cost them to rent an apartment in locations around Lagos.
Summarising text Using BART and T5
In this project I will explore text summarization models BART and T5 to achieve automatic summarization.
Customer Segmentation
Develop a clustering algorithm to help a supermarket owner create target groups for his customers. This would help him know what age to target which product.
Loan Prediction
A classification project to reduce the tedious process of ascertaining if a person will be offered loan or not. Models used are, LogisticRegression, DecisionTreeClassifier, RandomForestClassifier and AdaBoostClassifier.
Linear Regression on Lagos Rent
Scrape contents from nigeriapropertycentre and build a regression model to predict the housing price (rent) in Lagos.
Exploration of Prosper Loan
It all started with the question: Why would someone borrow money and refuse to pay back?
No-show Appointment Booking
Investigating the No-show appointment booking from 100k medical appointments in Brazil and is focused on the question of whether or not patients showed up for their appointment.
Exploratory Data Analysis on Titanic Dataset
In this project I went through the general data analysis process using pandas, numpy, seaborn and matplotlib.