ScarlettQiu

credit_card_customer_churn_Prediction_with_EDA_Streamlit

DLFS_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

github-slideshow

A robot powered training repository :robot:

House-Price-Prediction

Kafka

Logistic-Regression-U.S.-Higher-Education-Institutions-Ownership-Prediction

Market-Basket-Analysis-for-Online-Retail-Industry-by-Using-Databricks

Retail-Industry-Customer-Behavior-Database-Management-System

tech_crunch_data_warehouse

Text-Classification-using-Convolutional-Networks

ScarlettQiu/Market-Basket-Analysis-for-Online-Retail-Industry-by-Using-Databricks

ScarlettQiu/credit_card_customer_churn_Prediction_with_EDA_Streamlit

ScarlettQiu/DLFS_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

ScarlettQiu/github-slideshow

A robot powered training repository :robot:

ScarlettQiu/House-Price-Prediction

ScarlettQiu/Kafka

ScarlettQiu/Logistic-Regression-U.S.-Higher-Education-Institutions-Ownership-Prediction

ScarlettQiu/Retail-Industry-Customer-Behavior-Database-Management-System

ScarlettQiu/Retail-Industry-Exploratory-Data-Analysis-

This project is to analyze the sales performance of a Store Company in 2020. The main purpose is to identify the primary market which has the best sales performance and find the best-performed product segment for different markets, analyze the ship mode and order priority to predict customers’ expectations on delivery. Also, to be more specific, this report will further explore the performance and opportunities in European market. At the end of the report, I also gave several recommendations to the company based on the result of the analysis.

ScarlettQiu/Subscription-Behavior-Prediction

The methods used in this repository involve Logistic Regression and Support Vector Machines.

ScarlettQiu/tech_crunch_data_warehouse

ScarlettQiu/Text-Classification-using-Convolutional-Networks

ScarlettQiu/U.S.-Higher-Education-Prediction

NEU ALY6015 Group Project

ScarlettQiu/Prediction-of-Supermarket-Profits

This report has done a subgroup analysis on the supermarkets’ profits in the U.S., mainly in 3 states: New York, California, and Florida. Also, compared 2 approaches of doing a subset analysis, one is to use dummy variables, another is to do the regression in subgroups.

ScarlettQiu/python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

ScarlettQiu/ScarlettQiu

Config files for my GitHub profile.

ScarlettQiu/Tesco-Customer-Analysis