Olamilekan Omotosho's Projects
As a Data Science trainer at [AI] Academy, a pilot training provider for the 3MTT program, where I coached 3MTT fellows on AI/ML. The 3MTT program is a Nigeria program, organized by the Federal Ministry of Communications, Innovation & Digital Economy under the visionary leadership of Dr. ‘Bosun Tijani.
Contributing to cutting-edge open-source projects in Machine Learning hosted my MLSA Nigeria
Higher Level Programming In Python
C programming code
I'm now a ALX Student, this is my first repository as a full-stack engineer
I'm now a ALX Student, this is my first repository as a full-stack engineer
This project provides a comprehensive analysis of tax awareness and payment behaviors in Nigeria. It derives its findings from a survey of over 16,000 individuals spanning all Nigerian states, including the Federal Capital Territory (FCT).
Contains python codes
A curated list of references for MLOps
Data Analysis to investigate the reasons for No_Show of Appointments in an Hospital
Free Data Engineering course!
Data Science Roadmap from A to Z
Containerisation
Predicting who is likely to complete the E-process application of a Financial Industry
🎨 UI for the Free Data Engineering Zoomcamp 2023 Course provided by DataTalksClub
This contains all Andrew Ng Neural Network assignments for my deep learning course requirements
UmojaHack Africa 2022 #3: Faulty Air Quality Sensor Brief Description The objective of this challenge is to create a classification model to identify a device has an off set fault or not, regardless of the device. The model can be used by AirQo to automatically flag a device that is returning faulty data., have a look on Zindi.
DSN-AI-Bootcamp-Qualification-Hackathon. A classification model to predict if a customer will default or not.
A pre-bootcamp hackaton by DSN
This repository explains how to predict customer churn. An Hackathon Organized by Data Science Nigeria(DSN-AI) to help Expresso predict customer Churn. My 2nd place solution, log_loss of 0.246675. I've also added a section in the notebook to get a score of 0.246643, which could be the unofficial 1st place solution.
Draft of the fastai book
Implemented Faster R CNN on Custom Dataset