Decomposition of Time Series into Trend, Seasonality & Residual from Scratch
Time series decomposition is a mathematical procedure which transforms a time series into multiple different time series. The original time series is often s...
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Random Search for Hyper-parameter Optimization
Random search is a technique where random combinations of the hyperparameters are used to find the best solution for the built model. It is similar to grid s...
Delete Specific Websites from Google Chrome History using Python
Wouldn’t it be nice to selectively delete Google Chrome History based on Websites. In this video, I have created a small Python script which deletes all inst...
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 ...
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...