Jason Yip (jasonyip184)

jasonyip184

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Location:Singapore

Home Page:https://medium.com/@jasonyip184

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Jason Yip's repositories

StockSentimentTrading

Algorithmic Trading using Sentiment Analysis on News Articles

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yolo

YOLO v3 Object Detection with Voice Feedback using gTTS

InstaScraper

Automating Social Media Contests with Web Scraping

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SGTextGenerationLSTM

Generating Singlish Text Messages with a LSTM Network

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L1DataMovementPrediction

A multi-label, multi-class classifier for an intra-day L1 order book data of a single security.

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music_classification

An image-based classification of music genres using CNNs on spectrograms

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TheShippingOptimizer

The Shipping Optimizer is a tool for shippers to find the most cost-saving route for their shipment (includes multiple variables like cargo weight and value).

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BT3103_W2EX5_Jason_Yip

Created with CodeSandbox

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Clustering_SGX_Stocks

There's a general understanding that stocks usually move together if they are in the same industry. I aim to test those intuitions with some historical data

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regression_analysis

In-depth regression analysis

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game-theoretic-agent-simulation

Multi-agent simulation to model the game-theoretic behaviour of countries' climate policy

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Spatial-Accessiblity-in-Singapore

Fully functional dashboard application developed within 48 hours during the IDE@DataSpark Open Hackathon which won First Place

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trash-simulation

A multi-agent system to model littering behaviour

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b76

R package to compute the Implied Volatility and plot the Volatility Skew using the Black-76 option pricing model

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Citi_Bike_Analysis

Project for BT2101: Decision Making Methods and Tools

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FarmerGradingPlatform

Developed a dashboard as a platform for stakeholders to view farmers by their grading and identify opportunity for investments.

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Moddo

A collaborative recommender system for school modules written from scratch in R

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NoteX

NoteX uses Computer Vision and Speech Recognition to convert handwritten notes and voice recordings into text

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X-Insight

A lightweight package which enhances existing Learning Management Systems by understanding viewers' interest through Computer Vision and Sentiment Analysis

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