Category: Python
Python tutorials
Designing a High-Pass FIR Filter using the windowing method
Finite Impulse Response (FIR) filters are of great interest in digital signal processing tasks because they have a linear phase response and do not cause many distortions to the filtered signal. Furthermore, unlike an Infinite Impulse Response (IIR) filter, the FIR filter is non-recursive, i.e. it has no feedback (it uses only samples of the input signal) and, consequently, is a naturally stable filter.
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Using NLP to Increase Quality of Education in Developing Countries
How would you rate your experience in school out of 10? I’d probably give it a solid 8. But let me tell you about a sad reality.
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What Was Shakespeare Thinking Back Then?
What was Shakespeare thinking back then? — A word cloud
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Using NLP To Improve Grantee Discovery
How I built a simple data science subject classifier to tag The Rockefeller Foundation’s grant database. Written by Dustin Marshall, this post builds upon many of the themes presented in an interview between the Towards Data Science Editors and The Rockefeller Foundation from last year’s Community Spotlight series.
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Summarizing product reviews into Dashboard
Hello everyone, are you looking for a way to consume all the long and multiple reviews on a e-commerce website into a concise way?? If yes, then you’re in here for a treat 🙂
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Build a Tic-Tac-Toe Game Engine With an AI Player in Python
When you’re a child, you learn to play tic-tac-toe, which some people know as naughts and crosses. The game remains fun and challenging until you enter your teenage years. Then, you learn to program and discover the joy of coding a virtual version of this two-player game. As an adult, you may still appreciate the simplicity of the game by using Python to create an opponent with artificial intelligence (AI). By completing this detailed step-by-step adventure, you’ll build an extensible […]
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NLP: TF, IDF, and Count Vectorizer (CV)
Problem with Bag of Words: A problem with the Bag of Words approach is that highly frequent words start to dominate in the document (e.g. larger score), but may not contain as much “informational content”. Also, it will give more weight to longer documents than shorter documents. TFIDF or Term Frequency-Inverse Document Frequency indicates the importance
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Implementing an end-to-end machine learning project — Part II
Authors Note: This piece was originally published by the author in November 2020 on translatingnerd.com
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