Tag: #dataanalytics
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Trending YouTube Video Data Science, NLP Predictions & Sentiment Analysis
YouTube (YT) is probably the most popular web platform that is easy to share non-textual content such as videos and animations. The goal of this post is to get data science insights into YouTube trending videos for many countries, to see what is common between these videos. Specifically, the following questions need to be answered: How many views,…
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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…
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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
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Simple E-Commerce Sales BI Analytics
Good businesses learn from previous efforts and test future ideas using e-commerce analytics (ECA). ECA enable you to delve deep into historical BI data, and future forecasting so that you can make the optimized business decisions. The key benefits of ECA are as follows: Improve your ROI while lowering your CAC. Measure the effectiveness of…
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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.
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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) ]
