Caiwen Li's repositories
Retail-Customer-Segmentation-Profile
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
Retail-Traffic-Competitor-Analysis
This R script analyzes Michaels store traffic, compares it with competitors, and assesses market share. Explore proximity, sales trends, and demographic insights for strategic decision-making.
Academic-Article-Organizer-and-Analyzer
This R script efficiently organizes and processes academic articles for citation analysis. It cleans file names, extracts and formats abstracts, and analyzes citations, streamlining the management of research documents.
Basket-Analysis-Data-Mining
This Market Basket Analysis project in Python/R offers a versatile solution for uncovering purchasing patterns from transactional data. Utilizing powerful libraries like pandas, sqlalchemy, and mlxtend, it's ideal for businesses seeking to enhance marketing strategies and boost sales through data-driven insights.
CruiseInsight-Passenger-Behavior-Analytics
CruiseInsight is an analytics project aimed at deciphering passenger behavior in the cruise industry. It uses data processing, EDA, and Logistic Regression to predict passenger preferences and booking patterns. This project is vital for understanding customer dynamics and enhancing cruise booking experiences.
Email-Reporting-Automation
Automate retail reporting emails in R using Outlook, sending daily/weekly reports to specified teams with attached files. Example emails and paths provided.
FastTrack-Sales-Forecaster
FastTrack Sales Forecaster leverages ARIMA models for advanced time series analysis in fast food sales. It efficiently predicts future trends from historical data, aiding in strategic planning and market analysis. This tool is essential for data-driven decision-making in the fast food industry.
Feature-Analysis-for-Classification
This framework is a versatile toolkit for data analysis across domains, offering robust data processing, feature selection, predictive modeling, and visualization tools adaptable to various datasets.
Feature-Engineering-Mean
"Aggregated Mean Calculator" in R efficiently computes feature weights by grouping data and calculating mean values, essential for predictive analytics and statistical modeling. Ideal for insightful data analysis.
Retail-Store-Customer-Sale-Analysis
This R project conducts a comprehensive analysis of customer distances and sales for retail stores. Leveraging SQL server connectivity, it calculates distances, categorizes sales within specified radii, and outputs insightful data for retail business decision-making.
Vendor-Boosting-Regression-Metric-Analysis-Random-Forest
The "Vendor Boosting Regression" project uses Random Forest regression to score vendors based on metrics like GSS and new subscriptions, identifying key performance factors through machine learning analysis.
ICU-Trends-Forecasting-COVID-19-Impact-Analysis
ICU Trends Forecasting is a Python-based project that uses ANN and LSTM models for predicting ICU admissions due to COVID-19, aiding healthcare planning with visual analysis tools.
Inventory-Reorder-Analysis
Reorder Analysis is an R-based project for analyzing retail restocking needs. It processes sales, inventory, and SKU data, interfacing with SQL Server to inform reorder decisions.
Loan-Company-Scorecard-Project
The "Comprehensive Machine Learning Framework in R" is an all-inclusive toolkit for data preprocessing, WOE calculation, and model evaluation, designed for robust machine learning applications and equipped with cross-validation and extensibility features.
Regression-Analysis-Weather
This R Markdown project conducts detailed weather-related sales analysis. It includes data loading, cleansing, integration of sales with weather data, trend analysis, and correlation studies, all wrapped in a modular, reusable code structure with comprehensive documentation and an MIT license.
Task-Schedule-Automation
Automate R script execution with this script using the `taskscheduleR` package. Schedule one-time or recurring tasks, create examples, and easily manage them. Streamline your task scheduling for efficient R script automation.
TextSenseAI-Advanced-Text-Classification-and-Analysis
This script provides a modular machine learning tutorial in Python, covering classification and regression with datasets and models like Naive Bayes, Random Forests, GBDT, and Neural Networks, including data preprocessing and visualization functions.