Category: Data-Driven Tech

  • Cybersecurity Monthly Update

    Cybersecurity Monthly Update

    Cybersecurity Monthly Update Securing Your Digital Transformation Focus on DevSecOps Maintain velocity without compromising security GitLab has been a catalyst for change when it comes to the evolution of DevSecOps versus traditional application security testing. Weeam: Are you ransomware resistant?

  • 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) ]

  • The Application of ML/AI in Diabetes

    The study uses machine learning (ML) to predict diabetes in patients. Classifying diabetics is complex, but ML can offer quick and accurate predictions. The study focuses on type 2 diabetes and uses the Pima Indians database for diagnostic measurements. Models were trained with Python and the Anaconda library. Feature engineering and exploratory data analysis revealed…

  • 20 Top Social Media Sites

    The top social media sites in 2022 based on monthly active users are Facebook, YouTube, WhatsApp, and Instagram, with Facebook leading at 2.9 billion users. The key takeaway is to be selective with social media presence, focusing on platforms relevant to your brand’s target audience rather than spreading resources thinly across multiple platforms.

  • AAPL Stock Technical Analysis 2 June 2022

    AAPL Stock Technical Analysis 19 May, 2022. Both annual and monthly linear regression trends of the AAPl stock performance vs CPI change show a clear positive gradient. This means that this dividend stock is a good candidate for your inflation-resistant portfolio for reasons beyond its dividend.

  • Inflation-Resistant Stocks to Buy

    Inflation-Resistant Stocks to Buy AAPL Example Python workflow Download 3 historical datasets – stock price and monthly/annual CPI Compute the monthly/annual stock performance (%) and CPI rate (%) Apply linear regression to the stock vs CPI performance cross-plot Check the slope or gradient of the linear trend – positive, negative or zero.

  • A Shamelessly Simple E-Restaurant Order

    This simplest Python online restaurant order system gets your restaurant online fast. So you can keep cooking without sacrificing what matters.

  • AI-Powered Customer Churn Prediction

    AI-Powered Customer Churn Prediction

    AI-Powered Customer Churn Prediction Churn is a good indicator of growth potential. Churn rates track lost customers, and growth rates track new customers—comparing and analyzing both of these metrics tells you exactly how much your business is growing over time. In this project, we explored the churn rate in-depth and examined an example implementation of…

  • AI-Powered Stroke Prediction

    Contents: Introduction Stroke, also known as brain attack, happens when blood flow to the brain is blocked, preventing it from getting oxygen and nutrients from it and causing the death of brain cells within minutes. According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally after ischemic heart disease,…

  • ML/AI GHG Monitoring and Forecast

    The graphs show monthly mean carbon dioxide measured at Mauna Loa Observatory, Hawaii. We extract some insights about the historical data and its statistical properties using the scikit-learn ML/AI Python library. We discovered that atmospheric CO2 concentration is expected to increase in future, highlighting the fact that emissions must be reduced, to ensure the prosperity…

  • Diabetes Prediction using ML/AI in Python

    The post focuses on developing a machine-learning model to predict diabetes using patient diagnostic data from the UCI Machine Learning Repository, featuring blood tests and obesity metrics. Implemented classifiers include a random forest, decision tree, XGBoost, and an SVM. The model is trained on this data, achieving highest accuracy with the random forest method (approx.…

  • 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…

  • Webscraping in R – The IMDb Showcase

    IMDB ETL Showcase in R Studio Read content Data editing Visuals & Insights

  • Firsthand Data Visualization in R: Examples

    The post discusses the power of R, a programming language and software environment used for data analysis and graphic representation. It provides examples on using various R packages like ggplot2 for data visualization and tidycensus for downloading geographic and demographic data. It also explains how to create different types of plots such as choropleth maps,…

  • Short-Term Stock Market Price Prediction using Deep Learning Models

    Continue reading

  • ML/AI Regression for Stock Prediction – AAPL Use Case

    1. Install Yahoo finance library 2. Call all dependencies that we will use for this exercise  3. Define the ticker you will use 4. Let’s look at the data table 5. Data Exploration Phase 6. Data Preparation, Pre-Processing & Manipulation 7. Apply Linear Regression 8. Perform ML QC Analysis 9. Final Output

  • HealthTech ML/AI Use-Cases

    About Supervised ML/AI Breast Cancer Diagnostics Python Use-Case Supervised ML/AI in Breast Cancer (BC) Classification Heart Failure Prediction using Supervised ML/AI Technique Diabetes Prediction using ML/AI in Python

  • E-Commerce Data Science Use-Case

    In response to the surge of online shopping, a Data Science (DS) based customer analytics platform focusing on customer profiling, sentiment analysis, and customer lifetime value prediction is being developed. This platform utilizes the Exploratory Data Analysis (EDA) pipeline employing the Python library, Pandas. The platform is capable of product recommendation, customer trend analysis, sales…

  • E-Commerce ML/AI Classification

    The article outlines the process of using TensorFlow to categorize clothing images. It involves pre-processing data, building an ML model, and making predictions. The application relies on Python and Jupyter Anaconda IDE, using the tf.keras high-level API. The dataset comprises 60,000 grayscale images in various fashion categories, with data divided into training and testing sets…

  • Brand Architecture: Google vs. Amazon

    This report builds and examines the brand architecture of two brands – GCP and AWS – in the Cloud Computing (CC) sector. The positioning of CC, while initially seen as a disruptive technology influence on both buyers and seller prospects, is now evolving into a trade-off between low-cost arbitrage and added value QoS. You will…