air_quality

backend

blindness-detection

Reports have shockingly revealed that there are 43 million people living with blindness and 295 million people living with moderate-to-severe visual impairment globally. Out of these, a huge 77% is completely preventable or treatable. The objective here is to be able to detect and help put measures in place to prevent or treat blindness and yes, machine learning can help.

bollworm-counting-challenge

customer-churn-prediction

Competed In a Hackathon to build a supervised classification machine learning algorithm that predicts customer churn.

django-rest-framework-docs

An inventory tool for Django Rest Framework v2 API endpoints

dsn-50-days-of-learning-2023

ecological-footprint-predictor

In this project, I worked on a classification problem using an imbalanced dataset which predicts ecological footprints. The aim of the project was not necessarily to build a classification model but to investigate the different methods of correcting an imbalanced dataset in order not to build a biased classifier

eeee

email-classification-using-bert

Developed a machine learning algorithm using Bidirectional Encoder Representations from Transformers (BERT) for email spam detection

end-to-end-ml

football-celebrity-classification

Batch-downloaded celebities images from the internet to build a model that predicts 4 classes of celebrity images..

free-ai-classes-in-every-city-hackathon

notebook to top solution

frontend

godson-izuogu

My Data Science Portfolio page for blog posts.

godson199

Godson Izuogu Portfolio

google-stock-price

This a regression task where I developed an algorithm that predicts Google stock price for a certain period

hamoye_capstone_project_smote

Object detection using TensorFlow and YOLO v5

hand-written-digits-classifier

Just did some work on the "hello world" of machine learning -HAND WRITTEN DIGITS CLASSIFICATION. This time I used the Keras-TensorFlow high level sequential API instead of Logistic Regressin.

house-predictor

A regression data science/machine learning project that produced a model that predicts Begaluru (India) house prices.

imaginecup

Resources to help you enter, and perhaps win, the Imagine Cup, a worldwide event by Microsoft

lagos-housing-analysis-prediction

ml_course_19-11-20

Global AI Hub Intro to ML Course Nigeria

model

multivariate-multiple-regressor

multivariate multiple regression model to study the effect of eight input variables on two output variables, which are the heating load and the cooling load, of residential buildings.

nigeria-cities-car-pricing-prediction

The aim of this project, is to develop a machine learning algorithm that can predict the prices of cars bought from different Nigeria states ie Abuja, Ibadan, Lagos.

potato-disease-classification

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

predicting-titanic-survival

Worked on the famous Titanic dataset to build a classification algorithm that predicts the survival of the passengers of the giant ship

prembly-s-hackathon

py

Repository to store sample python programs for python learning