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8 of the Top Python Libraries You Should be Using in 2024

ODSC - Open Data Science

Python is still one of the most popular programming languages that developers flock to. In this blog, we’re going to take a look at some of the top Python libraries of 2023 and see what exactly makes them tick. NumPy arrays are similar to lists in Python, but they are optimized for performance.

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Named Entity Recognition With SpaCy

Heartbeat

In this article, we will discuss how to perform Named Entity Recognition with SpaCy , a popular Python library for NLP. NRE is a complex task that involves multiple steps and requires sophisticated machine learning algorithms like Hidden Markov Models (HMMs) , Conditional Random Fields (CRFs), and Support Vector Machines (SVMs) be present.

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Faster R-CNNs

PyImageSearch

If you’re interested in learning more about IoU, including a walkthrough of Python code demonstrating how to implement it, please see our earlier blog post. Step #4: Classify each proposal using the extracted features with a Support Vector Machine (SVM). ✓ Access on mobile, laptop, desktop, etc. Join the Newsletter!

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Building a Better Profanity Detection Library with scikit-learn

Victor Zhou

Of course, before I did that, I looked in the Python Package Index (PyPI) for any existing libraries that could do this for me. profanityfilter (has 31 Github stars, which is 30 more than most of the other results have) profanity-filter (uses Machine Learning, enough said?!) dump ( vectorizer , 'vectorizer.joblib' ) joblib.

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Automatic file format detection in data migration projects

Dataconomy

Support Vector Machines (SVM) : A good choice when the boundaries between file formats, i.e. decision surfaces, need to be defined on the basis of byte frequency. To implement our automated download system, we used Selenium in Python to control the browser using a Firefox driver.