Tag: data science

  • ML/AI Diamond Price Prediction with R

    ML/AI Diamond Price Prediction with R

    Inspired by the recent study, this post will cover an analysis of diamonds with R Studio. On the demand side, customers in the market for a less expensive, smaller diamond are probably more sensitive to price than more well-to-do buyers. Therefore, it makes a perfect sense to use a pre-trained ML/AI model to get an idea […]

  • US Real Estate – Harnessing the Power of AI

    US Real Estate – Harnessing the Power of AI

    This is the continuation of our recent use-case series dedicated to the real estate (RE) monitoring, trend analysis and forecast. In these series, the focus is on the US house prices by invoking supervised machine learning (ML) and artificial intelligence (AI) algorithms available in Python as it is the language with the largest variety of libraries on the […]

  • 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

  • ML/AI Wildfire Prediction using Remote Sensing Data

    ML/AI Wildfire Prediction using Remote Sensing Data

    Featured Photo by Mike Newbry on Unsplash Introduction Wildfire is a widespread and critical element of the Earth’s system. Wildfires can result in significant impacts to humans, either directly through loss of life and destruction to communities or indirectly through smoke exposure. As the climate warms, we are seeing increasing impacts from wildfire. Consequently, billions […]

  • Cybersecurity Summer 2022 Round-Up

    Cybersecurity Summer 2022 Round-Up

    Cybersecurity Summer 2022 Round-Up Palo Alto Networks Security Automation: Within Our Own SOC AT&T SASE Branch with Fortinet DevOps.com webinars: Modern Data Protection With Metallic DMaaS Top 5 Cloud-Native Risks IT GRC Forum Utilizing the NIST Framework for Full-Cycle Privilege Orchestration Snowflake Security Digital Shadows Digest ksqlDB AIaaS Data Security Security Boulevard Webinars E-Training Opportunities

  • Towards Optimized ML Wildfire Prediction

    Towards Optimized ML Wildfire Prediction: This Python case example stems from the initial research into ML/AI wildfire prediction using the dataset that was downloaded from the UCI Machine Learning Repository.

  • ML/AI Wildfire Prediction

    ML/AI Wildfire Prediction

    A wildfire, forest fire, bushfire, wildland fire or rural fire is an unplanned, uncontrolled and unpredictable fire in an area of combustible vegetation starting in rural and urban areas. Wildland fire is a widespread and critical element of the Earth’s system. Presently, global annual area burned is estimated to be approximately 420 Mha (Giglio et al. 2018), which is greater in area than the country of India. Wildland fires […]

  • Drag Review Data Analytics

    UCI Drag Review Data Analytics An AI assisted medication recommender framework is truly vital with the goal that it can assist specialists and help patients to build their knowledge of drugs on specific health conditions. We Build a Drug Recommendation System that recommends the most effective drug for a certain condition based on available reviews of various drugs used to treat this condition.

  • Simple E-Commerce Sales BI Analytics

    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 […]

  • 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 a ML/AI churn rate prediction system.