Tutorial

• Forecasting Customer Lifetime Value Using RFM-Analysis and Markov Chain (01 Mar 2022)
  Calculate Customer Lifetime Value using Markov chains and RFM analysis. Project multi-year customer value for strategic marketing decisions.


• From RFM Analysis to Predictive Scoring Models (06 Jan 2022)
  Build predictive customer scoring models. Forecast purchase probability and spending using RFM segmentation and statistical modeling in Python.


• Customer Segmentation and Profiling: A Managerial Approach (03 Dec 2021)
  Implement managerial customer segmentation based on recency. A practical approach to predicting purchase likelihood and targeting marketing spend.


• SKU Clustering for Inventory Optimization (15 Oct 2021)
  Optimize inventory using hierarchical clustering. Group SKUs by sales velocity and volatility to improve demand forecasting and reduce costs.


• Plotting with Seaborn - Part 3: Multivariate Visualization (18 Sep 2021)
  Master FacetGrid, PairGrid, and JointGrid in Seaborn. Create small multiples and explore multivariate datasets efficiently.


• Plotting with Seaborn - Part 2: Distributions & Statistical Plots (07 Sep 2021)
  Analyze distributions with histograms, box plots, violin plots, and regression analysis in Seaborn. Visual statistical analysis made easy.


• Plotting with Seaborn - Part 1: Foundations & Essential Plots (23 Aug 2021)
  Master Seaborn for data visualization. Create bar plots, scatter plots, heatmaps, and more with clean, publication-ready code.


• The Confusion Matrix: Why Accuracy Is a Dangerous Illusion (07 Jun 2021)
  Why 99% accuracy can be worthless. Learn the confusion matrix, Type I and Type II errors, and how to choose metrics that match your real-world costs.


• The Least Squares Method (01 Jun 2021)
  Learn the least squares method from first principles. Derive the normal equations by working backwards from what you want to achieve.