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5 Genuinely Useful Bash Scripts for Data Science
In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.
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Learning How to Use ChatGPT to Learn Python (or anything else)
Let's learn how ChatGPT can help us learn about Python... or really anything at all.
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20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2
Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.
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10 Pandas One Liners for Data Access, Manipulation, and Management
These 10 one liners will help you start to access, manipulate, and manage data using Pandas.
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Genetic Programming in Python: The Knapsack Problem
This article explores the knapsack problem. We will discuss why it is difficult to solve traditionally and how genetic programming can help find a "good enough" solution. We will then look at a Python implementation of this solution to test out for ourselves.
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ChatGPT as a Python Programming Assistant
Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.
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20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1
Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.
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More Data Science Cheatsheets
It's time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest.
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Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning
This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff.
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Key Data Science, Machine Learning, AI and Analytics Developments of 2022
It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.
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Matthew Mayo (@mattmayo13) is a Data Scientist and the Editor-in-Chief of KDnuggets, the seminal online Data Science and Machine Learning resource. His interests lie in natural language processing, algorithm design and optimization, unsupervised learning, neural networks, and automated approaches to machine learning. Matthew holds a Master's degree in computer science and a graduate diploma in data mining. He can be reached at editor1 at kdnuggets[dot]com.
