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Name: Siaw-Darko Emmanuel
Type: User
Bio: Love working with data , generating insights and statistical Info and above all building models that actually make predictions based on past data
Location: Ghana
Name: Siaw-Darko Emmanuel
Type: User
Bio: Love working with data , generating insights and statistical Info and above all building models that actually make predictions based on past data
Location: Ghana
Serverless Template for a Flask application
A scikit-learn compatible Python toolbox for machine learning with time series
A series of tutorials for NASA International Space Apps Challenge
Face masks have become a common public sight in the last few months. The Centers for Disease Control (CDC) recently advised the use of simple cloth face coverings to slow the spread of the virus and help people who may have the virus and do not know it from transmitting it to others. Wearing masks is broadly recognised as critical to reducing community transmission and limiting touching of the face. In a time of concerns about slowing the transmission of COVID-19, increased surveillance combined with AI solutions can improve monitoring and reduce the human effort needed to limit the spread of this disease. The objective of this challenge is to create an image classification machine learning model to accurately predict the likelihood that an image contains a person wearing a face mask, or not. The total dataset contains 1,800+ images of people either wearing masks or not. Your machine learning solution will help policymakers, law enforcement, hospitals, and even commercial businesses ensure that masks are being worn appropriately in public. These solutions can help in the battle to reduce community transmission of COVID-19.
This solution rank 3rd place in predicting the likelihood of credit default of ecommerce clients
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分
Tutorial materials for PyTorch for Recommender Systems from Strata 2018 San Jose
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
TensorFlow 2.x Jupyter Notebooks
Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP
Supplemental material for Udacity's "Writing READMEs" course
You may have seen recent news articles stating that air quality has improved due to COVID-19. This is true for some locations, but as always the truth is a little more complicated. In parts of many African cities, air quality seems to be getting worse as more people stay at home. For this challenge we’ll be digging deeper into the data, finding ways to track air quality and how it is changing, even in places without ground-based sensors. This information will be especially useful in the face of the current crisis, since poor air quality makes a respiratory disease like COVID-19 more dangerous. We’ve collected weather data and daily observations from the Sentinel 5P satellite tracking various pollutants in the atmosphere. Your goal is to use this information to predict PM2.5 particulate matter concentration (a common measure of air quality that normally requires ground-based sensors to measure) every day for each city. The data covers the last three months, spanning hundreds of cities across the globe.
Lab Submissions for WeJapa Internship
See https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse
wine prediction dataset
Rank 11/47
A demo web application for WorldQuant University Introduction to Data Science Module
DATA PREPARATION
Solution to 6th place of audio classification competition (https://zindi.africa/competitions/giz-nlp-agricultural-keyword-spotter/leaderboard)
zindi dataset downloader
A method to detect sea turtle faces using a segmentation approach combined with connected components.
Zindi is a social enterprise whose mission is to build the data science ecosystem in Africa.
Zindi Hackathon
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.