Sekinat Oyero's repositories
Supervised-Machine-Learning
In this project, I developed a Random Forest Classifier model to predict fake bank notes using Python
Twitter-Data-Analysis
In this project, I queried dataset from Twitter using Twitter API and carried out data quality assessment, cleaning, and visualisation and created a descriptive report on the analysis and findings.
2016-ml-contest
Machine learning contest - October 2016 TLE
alx-zero_day
I'm now a ALX Student, this is my first repository as a full-stack engineer
Cyclistic-Case-Study
In this project, I analysed over 5 million of Cyclistic bikeshare data spanning 12 months using SQL and Python
Earthquake-Data-Analysis
In this project, I analyzed and visualised over 200 thousand household surveys of the 7.8Mw earthquake that happened in Gorkha region in April, 2015.
Heathcare-Data-Analysis
In this project, I used Python and its libraries to wrangled and analyzed more than 100k Medical Appointments data in Brazil to derive insights on the reasons why patients missed or showed up for their appointments.
Marketing-Database-Design
In this project, I cleaned a bank personal loan marketing campaign dataset, and designing the schema in a way that would allow data from future campaigns to be easily imported in PostgreSQL database.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
first-contributions
🚀✨ Help beginners to contribute to open source projects
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
mindsdb
MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production in a fast and scalable way.
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Principles-of-Machine-Learning-Python
Principles of Machine Learning Python
Sekinat-oyero
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