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Name: Marcus Loke
Type: User
Company: Defence Science and Technology Agency
Bio: This GitHub repository covers all my data science, machine learning and data viz projects.
Location: New York City
Name: Marcus Loke
Type: User
Company: Defence Science and Technology Agency
Bio: This GitHub repository covers all my data science, machine learning and data viz projects.
Location: New York City
Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).
Project on anomaly detection using statistical learning.
Performed EDA and LDA on the history of philosophy.
This is my research experiment proposal to answer whether a raise in yearly increment percentages would improve the tenures of software engineers at Google. The proposal covers the literature review, research plan and simulation of effects (using R).
Machine Learning Fairness: Maximizing Accuracy under Fairness Constraints (C-LR and C-SVM) and Information Theoretic Measures for Fairness-Aware Feature selection (FFS)
I participated in a Kaggle competition where I predicted the prices of AirBnb rental listings in NYC using supervised machine learning techniques such as linear regression, trees and bootstrap (random forest and boosting).
Created a recipe generator app that returns the user with a list of recipes that can be used with whatever available ingredients he/she has at home.
Created a R Shiny app that analyzed the impact of Covid-19 on NYC311 calls.
I conducted sentiment analysis by scrapping data from Glassdoor and augmented the insights to a prediction model to predict the attrition at IBM. I also used clustering on internal IBM HR data before prediction to evaluate the model accuracy.
I conducted sentiment analysis by scrapping data from Yelp to uncover coffee drinker preferences in NYC for Joe Coffee Company to have better positioning in the highly saturated coffee metropolis.
Performed weakly supervised learning on CIFAR-10 images with noisy labels using convolutional neural networks (CNN).
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.