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Name: Olufemi Victor
Type: User
Bio: A professional mix of Machine Learning and Telecommunications Engineering driven by quality thoughts and unusual potential to see into the next generation needs
Twitter: olufemivictort
Name: Olufemi Victor
Type: User
Bio: A professional mix of Machine Learning and Telecommunications Engineering driven by quality thoughts and unusual potential to see into the next generation needs
Twitter: olufemivictort
The 30 days of learning program was powered by Microsoft, the programme was designed to help upskill with Microsoft technologies by learning and building solutions across these knowledge areas; Data Analysis Using Power BI, Low-code/No-Code Application Development using Power Platform, and Data Science and Machine Learning with Azure. This repo contains my notes from the program. The main page is accessible via https://aka.ms/30DLOnboardingRecap
Agrobot is the modern farmer's A.I assistant, Agrobot is built to help farmers detect crop diseases or pests on the farm through snapshots. It is basically a host to Computer vision models built for farm use. Agrobot gives brief explanations on the detected subject, as well as proffer the latest solutions. Agrobot also supports over 150 languages.
This repository contains a set of APIs built for Agricultural based use cases
https://agrobotfarms.netlify.app/
The notebook shows how to perform Exploratory Data Analysis, Predictions and Model Selection on a multi-class dataset.
Empower developers with a human-AI collaborative VSCode extension
This repository contains the frontend applications for the AirQo platform.
PyTorch android examples of usage in applications
:memo: An awesome Data Science repository to learn and apply for real world problems.
Building a model which accurately predicts which individuals are likely to be depressed from the survey data could be used by mental health providers such as local clinics, NGOs or community health volunteers to reach out to those at risk.
Rank 5/204
The machine learning algorithm predicts the value of carbon at any time in the past, present or future and in any location.
A Machine Learning model that predicts CO2 emissions values for a specified place and time
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
Due to the widespread noise pollution in our cities, data sponsors Sunbird AI recognised a need to gather data on noise exposure, in order to produce an action plan and empower citizens to be vigilant in tracking and monitoring noise. The challenge is to train a noise classification model to classify noise into different categories.
deploy_insurance_pred2
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Deep learning web app that understands if/how an image is rotated and "derotates" it
The notebook was created in fulfillment of my internship at The Sparks Foundation, the notebook explains clearly how to use decision trees to train data, build model, predict with the model as well as evaluate the model. The final section of the notebook visualizes the decision tree itself, with a clear understanding of how the model makes predictions.
Getting started with diffusion
.NET Student Zone .NET Conference 2022
This repository features an IoT-Based Emissions Monitoring System, aiming to create a low-cost, real-time solution using IoT, machine learning, and decentralized data storage. It includes sensor calibration, CO2 emission prediction, and calibration transfer. Stay tuned for updates.
This repository contains Team FarmX's solution for the Google Solution Challenge 2023.
:globe_with_meridians: A simple REST API project developed with Python Flask
The objective of the challenge is to predict the price (Amount (Million Naira) the company should sell a car based on the available data (Location, Maker, Model, Year, Colour, Amount (Million Naira), Type, Distance). The objective is the predict the selling price. About Data Science Network (datasciencenigeria.org)
This contains my solution for the Gender-Based Violence Tweet Classification Challenge hosted on Zindi
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.