Category: Cohort

  • An Overview of Video Games in 2023: Trends, Technology, and Market Research

    An Overview of Video Games in 2023: Trends, Technology, and Market Research

    The gaming industry is rapidly growing, projected to reach a revenue of $365.6 billion in 2023. Major trends include Web3 gaming, AI integration, and a push for consolidation. Fashion brands collaborate for virtual sales, and advances in gaming technology, such as AR/VR and cloud-based gaming, promise an even more immersive experience for gamers.

  • Unsupervised ML, K-Means Clustering & Customer Segmentation

    Unsupervised ML, K-Means Clustering & Customer Segmentation

    Table of Clickable Contents Motivation Methods Open-Source Datasets This file contains the basic information (ID, age, gender, income, and spending score) about the customers. Online retail is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion…

  • SARIMAX Forecasting of Online Food Delivery Sales

    SARIMAX Forecasting of Online Food Delivery Sales

    This article provides a beginner-friendly guide to understanding and evaluating ARIMA-based time-series forecasting models such as SARIMA and SARIMAX. It focuses on an QC-optimized SARIMA(X) model to forecast the e-commerce sales of a food delivery company. The post covers essential concepts, data processing, model comparisons, and insights. It also includes a comparison between SARIMA and…

  • A Roadmap from Data Science to BI via ML

    A Roadmap from Data Science to BI via ML

    The blog post presents a comprehensive roadmap to Data Science (DS), providing an overview of career prospects, the field’s intersections with Mathematics, Statistics, and Computer Science, and its business relevance. The text details the earning potential of data scientists and the steps towards becoming one, including Data Analysis, Machine Learning, and Business Intelligence. It highlights…

  • Build A Simple NLP/NLTK Chatbot

    Build A Simple NLP/NLTK Chatbot

    Chatbots are computer programs that automate conversations with users, providing real-time customer support and industry-specific solutions. This example demonstrates creating a chatbot using Python within Jupyter IDE and implementing simple dialogue. Chatbots are widely used in digital marketing for various business applications, such as customer service, sales, FAQ, shopping, and marketing.

  • Cloud-Native Tech Status Update Q3 2022

    Cloud-Native Tech Status Update Q3 2022

    Cloud Computing Trends Q3 2022, market Share update key services IaaS PaaS FaaS Saas Cloud digital transformation all-the-way DevSecOps CI/Cd GitLab MLOps IoT Tech GCP gateway Big data Deloitte use-cases Stock markets Health Tech Cybersecurity Highlights Events Webinars AWS Storage E-training

  • Brazilian E-Commerce Showcase

    Brazilian E-Commerce Showcase

    This is a hands-on end-to-end Brazilian e-commerce use-case with detailed Exploratory Data Analysis (EDA) steps and business action items. We apply the RFM Segmentation and Customer Analysis to the Brazilian E-Commerce Public Dataset by Olist. It focuses on the lifetime value of customers, and it’s the preferred customer segmentation methodology for eCommerce businesses that focus…

  • K-means Cluster Cohort E-Commerce

    K-means Cluster Cohort E-Commerce

    K-means Clusters – Cohort Analysis applied to E-Commerce Understanding who your customers are and what they want is a fundamental part of any successful business. It can become increasingly challenging to create a one-size-fits-all customer profile. This is where the concept of cluster-based cohort analysis comes in. 

  • Customer Churn/Retention Rate ML/AI Strategies that Work!

    Customer Churn/Retention Rate ML/AI Strategies that Work!

    Telco Customer Churn/Retention Rate ML/AI Strategies that Work! Machine learning could predict customers with high probability to churn! Cohort analysis is a way to understand customer churn (aka attrition). In doing so, we maximize the ratio max [ (Customer Retention Rate)/(Customer Churn Rate) ]

  • E-Commerce Cohort Analysis in Python

    Cohort analysis (CA) is a beneficial tool in e-commerce marketing to monitor campaign health, particularly in customer retention rates. By grouping customers into cohorts, marketers can assess the effectiveness of their efforts, track customer behaviors, and identify the most valuable demographic segments. The article exemplifies how CA can be applied to customer transaction data using…