uchiharon
Driven by curiosity, I'm a pragmatist that loves to combine my passion for learning with data analytical skills to provide smart solutions.
Nigeria
uchiharon's Stars
opengeos/maxar-open-data
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
DataTalksClub/project-of-the-week
Learn by doing: DIY project groups at DataTalks.Club
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
Ebuka456/Winning-solution-DataFestAfrica22-Datathon
As winners of the Hackathon, we provided solutions for Zentel Network service Center, a telecommunication center that needed help to optimize their Ticketing performance. By paying strict attention to the Stakeholders needs, my team mates used 5W's & H approach to tackle this problem and proffer a solution to the company.
nasirudeenraheem/Liver_Disease_Prediction
This Machine Learning Challenge requires participants to create predictive models to predict the stage of liver Cirrhosis using 18 clinical features. Cirrhosis damages the liver from a variety of causes leading to scarring and liver failure. Hepatitis and chronic alcohol abuse are frequent causes of the disease. Liver damage caused by cirrhosis can't be undone, but further damage can be limited. Treatments focus on the underlying cause. In advanced cases, a liver transplant may be required. Predicting the stage of cirrhosis and beginning the treatment before it's too late can prevent the fatal consequences of the disease.
Ifeoluwa-hub/Heart-Failure-Prediction-and-Deployment-with-Flask-and-Heroku
Cardiovascular diseases are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worlwide. Early detection, and managment of cardiovascular diseases can be a great way to manage the fatality rate associated with cardiovascular diseases, and this is where a machine learning model comes in. For the purpose of predicting the risk of a heart failure in patients, I used the Support Vector Classifier to build a machine learning model, and deployed it using Flask and Heroku
resume/resume.github.com
Resumes generated using the GitHub informations
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!