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Descriptive Statistics Key Terms, Explained
This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.
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Natural Language Processing Key Terms, Explained
This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.
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Centroid Initialization Methods for k-means Clustering
This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.
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Machine Learning Key Terms, Explained
Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.
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Data Scientist, Data Engineer & Other Data Careers, Explained
In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.
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How to Determine the Best Fitting Data Distribution Using Python
Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.
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Answering Questions with HuggingFace Pipelines and Streamlit
See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines.
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5 Things That Set a Data Scientist Apart From Other Professions
Here are five things that help set the data scientist apart from other professions.
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Machine Learning Pipeline Optimization with TPOT
Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.
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GitHub Copilot Open Source Alternatives
GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.
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