Design of Experiment (DOE) is an important activity for any scientist, engineer, or statistician planning to conduct experimental analysis. This article discusses a new open-source Python package which can create key designs (factorial, randomized, response-surface, etc.) from a simple input CSV file.
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Data science needs fast computation and transformation of data. Native NumPy objects in Python provides that advantage over regular programming objects. It works for as simple a task as reading numeric data set from a file on the disk. We demonstrate the advantage with few lines of code.
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Introducing a simple and intuitive API for UCI machine learning portal, where users can easily look up a data set description, search for a particular data set they are interested, and even download datasets categorized by size or machine learning task.
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In this article, we showed that how the simple sorting algorithm is at the heart of solving an important problem in computational geometry and how that relates to a widely used machine learning technique.
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In this article, we discuss some cool tricks and tips about machine learning with Python. Some key online MOOC courses and blogs are mentioned. Most essential machine learning libraries (NumPy, Matplotlib, Seaborn, Pandas, Scikit-Learn, Statsmodels, TensorFlow, etc.) and their features are mentioned.
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Often, beginners in SQL or data science struggle with the matter of easy access to a large sample database file (.DB or .sqlite) for practicing SQL commands. Would it not be great to have a simple tool or library to generate a large database with multiple tables, filled with data of one’s own choice?
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In this article, we show how to use Python libraries (URLlib, BeautifulSoup4, etc.), Regex programming, and HTML parsing to extract useful information from a website and answer some important analytics questions afterwards.
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In this article, I will show how to use simple Python libraries and built-in capabilities to scrape the web for movie information and store them in a local SQLite database, which can later be queried for data analytics with movie info. Think of this as a project to build your own mini IMDB database!
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