ruomo123 Goto Github PK

antra-sql-assignment

explore-diabetes-dataset-with-principle-component-analysis-and-logistics-regression-

This project performs PCA and then use logistics regression to decide whether the patient has diabetes based on a thousand rows of data.

image-classification-for-quality-control-in-construction-businesses

Project for Artificial Intelligence course at Columbia Business School.

make-recommendations-for-a-real-estate-company-about-whether-it-should-enter-short-term-rental-marke

This is the Capstone Project from the Coursera Specialization “Excel to MySQL: Analytic Techniques for Business”. I built a linear regression model with nightly rental price and occupancy rate for short-term rental properties using data from current short-term rentals managed by other companies and owners. I used Excel, MySQL and Tableau in this project, and built a dynamic dashboard.

marketing-analytics-in-banking

Data Analytics Course Project at Columbia University IEOR department

pixiu

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

predict-stock-price-using-news-headlines

This project uses the daily top 25 news headlines to predict whether the stock prices increase or doesn’t increase (non-increase). I used Natural Language Processing and 3 machine learning algorithms: Naïve Bayes, LSTM and Convolutional Neural Network to complete this project.

tableau

tableau练习：数据集+课程复现+作业完成

time-series-analysis-and-prediction-of-cisco-csco-stock

This is one of the tasks I did during the internship at Allied Millennial Partners, a financial service company located at the Three World Financial Center, New York. I use stock price from Yahoo Finance to analyze Cisco’s stock price from 2005 to 2019. I explored several time series models and finally used ARIMA model to identify the characteristics of the stock, including seasonality, Day of the Week Effect, and predicted the stock based on history stock price data. * This work has been approved to be published by Allied Millennial Partners

verify-gamma-hedging-using-simulated-stock-data

This project use simulated stock price data based on Geometric Brownian motion for both the underlying stock for portfolio and the underlying stock for traded option, and then use the simulated data to verify whether daily Gamma hedging really hedge the risks.