Tag: exploratory data analysis

  • 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 […]

  • 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.

  • 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: Let’s look at the warehouse optimization problem by analyzing Kaggle sales […]

  • Data-Driven ML Credit Card Fraud Detection

    How ML/AI Powered Data Science and Data Analytics can help in credit card fraud detection? Fraud detection software monitors, investigate, and block fraudulent activity on your website. It is commonly used to protect fraudulent transactions using stolen credit card information. The Python code tracks transactions and assigns risk ratings to each one. Transactions with attributes that do not deviate from the norm can be processed.

  • 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.

  • AI-Powered Stroke Prediction

    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, responsible […]

  • LegalTech Law-as-a-Service (LaaS)

    LegalTech Law-as-a-Service (LaaS)

    Law-as-a-Service (LaaS) Global Legal Market SWOT Analysis Deloitte Example: 16 AI Projects Legal Tech Portfolio Legal Tech Agile/Scrum/HR Analysis Key LaaS Components LaaS On-Prem/Virtual Workspace Cloud Computing (CC) LA Virtualization