Articles by Dr. Darrin

T-Test with Pingouin

May 27, 2024 | Dr. Darrin

In this post, we will look at how to use the Pingouin package to calculate both t-test and ANOVA results. This post is not a post on statistics. Rather, we are focused on how to do t-test and ANOVA using Python. Therefore, the explanation of the statistics is not a ...
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Import Simple Files into Python

March 1, 2024 | Dr. Darrin

In this post we will be using Python to import files. Importing a text file is rather easy into Python. We will look at several different examples and file types in this post. Importing a Text File Importing a text file is often done in Python. To do this see ...
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AdaBoost Classification with Python VIDEO

December 5, 2022 | Dr. Darrin

AdaBoost classification is a type of ensemble learning. What this means is that the algorithm makes multiple models that work together to make predictions. Such techniques are powerful in improving the strength of models. The video below explains how to use this algorithm within Python.
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Lasso Regression with Python VIDEO

October 31, 2022 | Dr. Darrin

Lasso regression is another algorithm that uses regularization to handle variables. Essentially, this algorithm will reduce coefficients to zero based on whether they contribute meaningfully to the results. The video below will explain how to use Lasso regression in Python.
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Ridge Regression with Python VIDEO

October 24, 2022 | Dr. Darrin

Ridge regression belongs to a family of regression called regularization regression. This family of regression uses various mathematical techniques to reduce or remove coefficients from a regression model. In the case of ridge, this algorithm will reduce coefficients close to zero but never actually remove variables from a model. In ...
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Hyper-Parameter Tuning with Python VIDEO

October 10, 2022 | Dr. Darrin

Hyper-parameter tuning is one way of taking your model development to the next level. This tool provides several ways to make small adjustments that can reap huge benefits. In the video below, we will look at tuning the hyper-parameters of a KNN model. Naturally, this tuning process can be used ...
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