kohjiaxuan/Fraud-Detection-Pipeline

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Created almost 5 years ago
Updated over 4 years ago

kohjiaxuan/Fraud-Detection-Pipeline

kohjiaxuan

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A structured data science pipeline for classification problems that does scaling, sampling, k-fold cross validation with evaluation metrics

Wikipedia-Article-Scraper

A complete Python text analytics package that allows users to search for a Wikipedia article, scrape it, conduct basic text analytics and integrate it to a data pipeline without writing excessive code.

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Creating a stock market dashboard from an external API that tracks daily performance of stocks

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A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.

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By visualizing the gradient descent algorithm applied on a set of points that fits a quadratic equation, we understand better how the algorithm works in machine learning

Jupyter Notebook

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Data Project of Predicting HDB Resale Flat Prices with data cleaning, feature engineering and machine learning. Models used: Random Forest, XGBoost, Neural Networks, Decision Tree, Support Vector Regressors, Linear Regression

Jupyter Notebook

Data-Science-Competition-for-Revenue-Maximization

Data Science Competition that challenged teams to come up with creative ways to increase the revenue of an e-commerce company. Won 1st place! Write-up in repository