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cherylqwong's Projects

bdmi-2020a icon bdmi-2020a

Big Data and Machine Intelligence, Autumn 2020.

book7_visualizations-for-machine-learning icon book7_visualizations-for-machine-learning

Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;本册上传部分草稿,2023年初会继续上传稿件。欢迎大家提意见哈,注意下载最新版本

books icon books

各类闲书分享(equb版本,ipad可直接打开阅读)

chart-gpt icon chart-gpt

AI tool to build charts based on text input

customer-survival-analysis-and-churn-prediction icon customer-survival-analysis-and-churn-prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

fastchat icon fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

fbdqa-2020a icon fbdqa-2020a

Financial Big Data and Quantitative Analytics, Autumn 2020

hopr icon hopr

This is the development site for Hands-On Programming with R, a book that teaches how to program in R, with hands-on examples. Read the book at https://rstudio-education.github.io/hopr.

nlp-on-10k-documents icon nlp-on-10k-documents

This projects helps scraping and analysing the 10K and 10Q documents filed by publicly traded companies to the SEC.

pandas-videos icon pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

sec-edgar icon sec-edgar

Download all companies periodic reports, filings and forms from EDGAR database.

sec-xbrl-financial-statement icon sec-xbrl-financial-statement

SECDatabase.com produced this dataset with the text and detailed numeric information of all financial statements. The Dataset is extracted from corporate annual and quarterly reports filed with the SEC using XBRL since January 2009.

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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