Applied Machine Learning (PDMV Framework)

Map business problems to ML solutions — not the other way around

The biggest mistake in ML is starting with a model and looking for a problem. PDMV reverses this: you start with the business Problem, understand your Data, choose the right Model, and measure real-world Value. Updated for 2026: includes AutoML, foundation models for tabular data, responsible AI under the EU AI Act, and modern experiment tracking.

Framework: Problem-Data-Model-Value (PDMV)

PDMV is a decision framework for applied ML: (P) Define the business problem and success metric before touching data; (D) Understand data quality, bias, and what it can and cannot tell you; (M) Choose the simplest model that solves the problem; (V) Measure business value, not just accuracy.

Capstone Project: Customer Churn Prediction System

Work with a realistic, messy telecom dataset to build a churn prediction model. You will clean data, engineer features, compare models using the PDMV framework, and present findings in business terms to a simulated executive audience.

Course Details

Duration: 5 hours

Level: intermediate

Category: Machine Learning

Course Curriculum — 8 Modules

  1. The PDMV Framework Introduction

    Why starting with models is the biggest ML mistake.

    Duration: 30 minutes

    Includes: Quiz

  2. Problem Definition — Before You Touch Data

    Define the business problem, success metric, and constraints.

    Duration: 30 minutes

    Includes: Quiz, Coding Exercise

  3. Data Understanding & Quality Assessment

    Explore, profile, and assess your dataset for ML readiness.

    Duration: 35 minutes

    Includes: Quiz, Coding Exercise

  4. Feature Engineering — Creating Signal from Noise

    Transform raw data into features that models can learn from.

    Duration: 35 minutes

    Includes: Quiz, Coding Exercise

  5. Model Selection — The Simplest Model That Works

    Choose models based on problem type, data size, and interpretability needs.

    Duration: 30 minutes

    Includes: Quiz, Coding Exercise

  6. Value Measurement — Beyond Accuracy

    Translate model performance into business value.

    Duration: 25 minutes

    Includes: Quiz, Coding Exercise

  7. Responsible AI & Model Governance ★ NEW

    Duration: 45 minutes

  8. Capstone: Customer Churn Prediction

    Build an end-to-end churn prediction system using PDMV.

    Duration: 35 minutes

    Includes: Quiz, Coding Exercise

Enroll now at Framework First Academy to learn Applied Machine Learning (PDMV Framework) through structured frameworks and real-world projects.