In this article we implement a character level recurrent neural network (RNN) from scratch in Python using NumPy.
OpenPyXL is a Python module that enables data scientists and data analysts to perform all kinds of operations on Excel workbooks
Numba is an open-source Just-In-Time compiler that enables Python developers to translate Python and NumPy code directly into machine code.
In the guide to regression, we go through the basic principle behind regression analysis and discuss a few of its variants.
Atoti is a Python business intelligence analytics tool that creates a Tableau-like dashboarding interface inside Jupyter notebooks.
Naive Bayes classifiers is a highly scalable probabilistic classifiers that is built upon the Bayes theorem. This article goes through the Bayes theorem, ‘make some assumptions’ and then implement a naive Bayes classifier from scratch.
Context managers are one of those inherently Pythonic features that aren’t available in most languages. They provide a convenient syntax when your code has to open and close connections or manage limited resources.
Julia is a relatively new, fast, high-level dynamic programming language. Although it is a general-purpose language and can be used to write all kinds of
UPGMA is one of the most widespread hierarchical clustering algorithms because it is easy to understand and fast in practice.
AdaBoost was the first successful boosting algorithm that combined multiple weak classifier to create a strong classifier.
Compose is a Python module for automating prediction engineering. It enables developers to generate labels by writing one just labelling function.
Python metaclasses is an abstruse OOP concept that lurks behind basically all Python code, it can be used to modify the behaviour of classes.
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