Category: Demand Forecasting

  • Unsupervised ML Clustering, Customer Segmentation, Cohort, Market Basket, Bank Churn, CRM, ABC & RFM Analysis – A Comprehensive Guide in Python

    Unsupervised ML Clustering, Customer Segmentation, Cohort, Market Basket, Bank Churn, CRM, ABC & RFM Analysis – A Comprehensive Guide in Python

    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…

  • Top Fast-Growing Apps in 2023

    Top Fast-Growing Apps in 2023

    This post was inspired by the recent OKTA Business at Work report and the follow-up Medium blogs by Leon Zucchini published in Apr 7 and Apr 24. Table of Contents Popular App Categories 10 Fastest-Growing Apps 10 Hottest New Apps Summary The following trends are set to shake-up the (Mobile) App industry: A few of…

  • Risk-Aware Strategies for DCA Investors

    Risk-Aware Strategies for DCA Investors

    Let’s look at the the Dollar-Cost Averaging (DCA) investment approach that involves investing the same amount of money in a target security at regular intervals over a certain period of time, regardless of price. It can make it easier to deal with uncertain markets by making purchases automatic. It also supports an investor’s effort to invest…

  • Working with FRED API in Python: U.S. Recession Forecast & Beyond

    Working with FRED API in Python: U.S. Recession Forecast & Beyond

    Featured Photo by Lukas on Pexels. FRED stands for Federal Reserve Economic Data, and is a database of time series economic data that has been aggregated from a bunch of sources.  This is a great place to find financial data. You can visit the FRED web site to search for a data series or use the Python fredapi to download data…

  • Overview of AWS Tech Portfolio 2023

    Overview of AWS Tech Portfolio 2023

    This article provides with an overview of 50+ Amazon Web Services (AWS) 2023. AWS is the leading vendor of cloud services and infrastructure, dominating the cloud computing market: Amazon net sales increased by 15% to $127.1 billion in Q3 2022 as compared to $110.8 billion in Q3 2021. AWS segment sales increased by 27% year-over-year to reach…

  • SARIMAX X-Validation of EIA Crude Oil Prices Forecast in 2023 – 2. Brent

    SARIMAX X-Validation of EIA Crude Oil Prices Forecast in 2023 – 2. Brent

    Based on our previous study, our today’s focus is on SARIMAX time-series X-validation of the Brent crude oil spot price USD/b: viz. the goal is to verify the following EIA energy forecast in 2023 According to EIA, the Brent spot price will average $83.63/b in 2023. Table of Contents Prerequisites In this study we will be…

  • A Roadmap from Data Science to BI via ML

    A Roadmap from Data Science to BI via ML

    This post describes a Data Science (DS) roadmap, with relevant business applications. It has been written for aspiring data scientists, technical experts who work with data scientists, data-driven technology stakeholders, or anyone interested in learning about what DS is and what it’s used for. Why DS: The average base salary of a data scientist in…

  • Cloud-Native Tech Autumn 2022 Fair

    Cloud-Native Tech Autumn 2022 Fair

    Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic

  • The MobiDev ML Approach to Demand Forecasting Demystified

    The MobiDev ML Approach to Demand Forecasting Demystified

    Featured Photo by Mika Baumeister on Unsplash This post explains the nuts & bolts of the MobiDev Machine Learning (ML) framework of marketing-driven Demand Forecasting (DF) methods in conjunction with the upcoming SIBOS 2022 event (OCT 10-13, 2022 Amsterdam, Netherlands). The MobiDev ML approach consists of 5 steps: Contents: Step 1 The first stage when…