Okewunmi Paul's Projects
This Challenge aims to infer important COVID-19 public health risk factors from outdated data in South Africa
Zindi_Sea-Turtle-Rescue-Forecast-Challenge The objective of this challenge is to forecast the number of turtles caught per week per capture site. This will help Local Ocean plan their staff schedules and budget. For more info on the project (https://zindi.africa/competitions/sea-turtle-rescue-forecast-challenge)
This repo contains API definitions for the AirQo platform
This repository contains the frontend applications for the AirQo platform.
A simple unopinionated Hadouken application template.
OpenCV Python Neural Network Autonomous RC Car
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
WNS Analytics Wizard 2019 - War of Wizards organised by Analytics Vidya
A curated list of references for MLOps
Code4Me.ai is an AI-powered VS Code extension that transforms your natural language ideas into code effortlessly. Our innovative tool not only generates code but also provides auto-debugging capabilities, crafts unit tests, and creates quality documentation, all right within your IDE. Whether you're a novice or an expert developer.
A list of Developer Community Writer Programs
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A Deep Learning based project for colorizing and restoring old images (and video!)
Drone Based System for Plant Monitoring and Data Collection using Computer Vision. (Yolov4, DeepSORT, OpenCV)
Python Scripts and Jupyter Notebooks
Feature selector is a tool for dimensionality reduction of machine learning datasets