AdaBoost, Simplest Example
AdaBoost is one of those machine learning methods that seems so much more confusing than it really is. It’s really just a simple twist on decision trees. In ...
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Regression Trees, Simply Explained
Decision Tree Regression uses Mean Squared Error instead of Gini Index or Entropy to find the best possible split. In this video, I explain how you can perfo...
Principal Component Analysis (PCA) from Scratch in Python
Principal Component Analysis, is one of the most useful dimensionality reduction techniques. It is a statistical procedure that uses an orthogonal transforma...
Decision Tree Splits for Continuous Variables
How does a Decision Tree Split on continuous variables? A Decision Tree recursively splits training data into subsets based on the value of a single attribut...
Grid vs Random Search Hyperparameter Tuning using Python
In Grid Search, we try every combination of a preset list of values of the hyper-parameters and evaluate the model for each combination. The pattern followed...