Tag: random forest
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Regression Models: When You Need to Predict Actual Numbers
Learn when to use regression models instead of classification. Build customer lifetime value predictions using Linear Regression, Ridge, and Random Forest. Understand MAE, RMSE, and R² metrics with practical Python code.
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Classification Models: Pick the Right Tool
Compare four classification algorithms on the same churn dataset. Learn when to use Logistic Regression, Decision Trees, Random Forest, or XGBoost. Understand the performance vs interpretability tradeoff and make principled choices based on business context.
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Random Forest: The Swiss Army Knife of Machine Learning
So you’ve heard about Random Forest and you’re wondering what all the fuss is about? Well, buckle up because we’re about to dive into one of the most reliable and versatile algorithms in the machine learning toolbox. What’s This Random Forest Thing Anyway? Think of Random Forest as that friend who always gives solid advice…