Posts by Yoann Mocquin

[ad_1] A complete worked example for text-review classificationIn this new post, we are going to try to understand how multinomial naive Bayes classifier works and provide working examples with Python…

[ad_1] Understand stacking using scikit-learnDiscover the power of stacking in machine learning — a technique that combines multiple models into a single powerhouse predictor. This article explores stacking from its…

[ad_1] If you like or want to learn machine learning with scikit-learn, check out my tutorial series on this amazing package:Sklearn tutorialAll images by author.Dummy models are very simplistic models…

[ad_1] Linear models, handling non-linearity, and regularizationThis is the fourth post in my scikit-learn tutorial series. If you didn’t catch them, I strongly recommend my first two posts — it’ll…

[ad_1] Among the ML libraries, scikit-learn is the de facto simplest and easiest framework to learn ML. It is based on the scientific stack (mostly NumPy), focuses on traditional yet…

[ad_1] Detrending your time-series might be a game-changerDetrending a signal before computing its Fourier transform is a common practice, especially when dealing with time-series.In this post, I want to show…

[ad_1] Fourier-transform convolution also applies to imagesThis post is the second of the Fourier-transform for time series, check the first here:In the first post, I explained how the Fourier-transform can…