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Graham James Lim's Projects

calspread icon calspread

Intraday trading strategy for futures calendar spreads. Uses crude oil futures and 1-minute bid/ask bars from Interactive Brokers with a Bollinger Band mean reversion strategy. Runs in Moonshot. Demonstrates using exchange native spreads for live/paper trading, and non-native spreads for backtesting.

flowise icon flowise

Drag & drop UI to build your customized LLM flow

ga_project_2_linear_regression icon ga_project_2_linear_regression

GA Project 2: Using Scikitlearn's Linear Regression, Ridge and Lasso Regression models to analyze and predict house prices in the Ames Housing Dataset

ga_project_3_nlp_web_scraping icon ga_project_3_nlp_web_scraping

GA Project 3: Web scraping reddit, using NLTK and Scikitlearn classification models to predict which subreddit a post comes from and then visualizing keywords for content analysis

ga_project_4_advanced_supervised_unsupervised_learning icon ga_project_4_advanced_supervised_unsupervised_learning

GA Project 4: Using Advanced Supervised Learning models e.g. (Extreme) Gradient Boosting Trees and Random Forest Classifier models, as well as Unsupervised Learning models e.g. DBSCAN, K-Means Clustering. Working with geospatial, categorical and numerical data in the West Nile Virus dataset. Groupwork setting with my peers Evonne and Rong - based on github collaboration best practices.

infranodus-on-streamlit icon infranodus-on-streamlit

A Text Network generator from PDF, with visualization and classification. Based on the InfraNodus tool made by Dmitry Paranyushkin.

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