There are 3 repositories under cohort-analysis topic.
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
Cohort graph (Cohort Analysis)
A Snakemake workflow to process single samples or cohorts of Illumina paired-end sequencing data (WGS or WES) using trim galore/bwa/GATK4/parabricks.
Flowchart is a STATA module/package that generates publication-quality Subject Disposition Flowchart Diagrams in LaTeX Format. This package generates PGF/TikZ code through texdoc, compiled in LaTeX to produce the diagram as a PDF. The final diagram is the same in style as ones used in the PRISMA Statement, CONSORT 2010 Statement, or STROBE Statement Reporting Guidelines.
Custom Cohort Visualization based on Kibana NP
NHC: A computational approach to detect physiological homogeneity in the midst of genetic heterogeneity
The fastest way to make sense of a transaction log.
Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.
An R package for easy cohort analysis with event data
cohorts.py makes generating cohort analysis from raw data a magical experience
Cohort analysis is a study that focuses on the activities of a particular cohort. A cohort is a group of people who share a common characteristic over a certain period of time.
https://matthieuvion.github.io/lmd_viz/ 236k comments of Le Monde on Ukraine. A proxy to measure people' engagement. Semantic search & SBERT models testing via Sentence-Transformer / Faiss
Shiny Apps
Este projeto desenvolvido em Python realiza análise de cohort e RFM para segmentação de clientes de e-commerce.
This project involves cohort analysis and customer segmentation to help an e-commerce giant improve its product offerings, customer relations and maximize profit.
Customer Segmentation and Targeting for Retail Industry
This project focus on customer analysis and segmentation. Which help to generate specific marketing strategies targeting different groups. RFM Analysis, Cohort Analysis, and K-means Clusters were conducted on a UK-based online retail transaction dataset with 1,067,371 rows of records hosted on the UCI Machine Learning Repository.
Return on Investment is an out of the box python package for maketing analytics. The first release focuses on cohort analysis. The plan is to slowly include more analysis, as the package grows.
Random Forest-Based Cohort Comparison and Characterization
Data analysis projects completed during the Practicum coding boot camp
This is a data analysis project using Looker Studio. It offers insights into the Google Merchandise Store's performance with pages for market analysis, cohort analysis, and funnel analytics. The project visualizes key metrics to inform strategic decisions.
This project focuses on segmenting customers based on their tenure, creating "cohorts", allowing us to examine differences between customer cohort segments and determine the best tree based ML model.
A statistical approach for meta-analyzing adjusted and unadjusted estimates from epidemiological cohorts/studies.
Retention Rate is defined as the number of customers who continue to use a product/service. Retention rate is measured as the number of returning users, at a regular interval such as every week or month, grouped by their week of signup, in this project I'll be exploring an online retail dataset and create a retention cohort analysis in Jupyter Notebook.
Bachelor Thesis: Application of Data Mining Methods for Customer Clustering. Segmenting customers of Shopify stores
đź«€ Webapp to explore cohorts metadata for the iCARE4CVD project
In this cohort analysis project, I harnessed the capabilities of several powerful Python libraries, including NumPy, Pandas, Matplotlib, and Seaborn, to explore and derive insights from a substantial dataset comprising over 500,000 customers.
This project uses Python and Jupyter Notebook to perform time-based Cohorts Analysis to assess and compare retention, order items quantity and order revenue of different customer cohorts.