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🔅 Data Science Foundations: Data Mining in Python

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Author: Barton Poulson

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Level: Intermediate

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Duration: 3h 3m

🌀 Learn the key concepts and skills behind one of the most important elements of data science: data mining.

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Topics: Data Mining, Python

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Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. In this course, instructor Barton Poulson introduces you to data mining that uses the programming language Python. Barton goes over some preliminaries, such as the tools you may use for data mining. He discusses aspects of dimensionality reduction, then explains clustering, including hierarchical clustering, k-Means, DBSCAN, and more. Barton covers classification, including kNN and decision trees. He goes into association analysis and introduces you to Apriori, Eclat, and FP-Growth. Barton steps you through a time-series decomposition, then concludes with sentiment scoring and other text mining tools.

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Data Science Foundations: Data Mining in Python.zip

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📱Data Science Foundations: Data Mining in Python

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Ex_Files_Data_Mining_Python_R.zip

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📦 Exercise Files

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🔰 Python Question / Quiz;

What is the output of the following Python code?

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Anonymous Quiz

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Python string methods

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🔰 List Comprehension In Python

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🔰 Python program to convert text to speech

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🔅 Learning the Python 3 Standard Library

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Author: Kathryn Hodge

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Level: Intermediate

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Duration: 2h 16m

🌀 Explore the Python 3 standard library. Learn how to take advantage of its built-in modules to calculate statistics, format dates and times, get content from the internet, and more.

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Topics: Python

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Python libraries can cut your development time and reduce your frustration with coding. In this Python 3 course, follow Kathryn Hodge as she walks through the Python standard library. Discover how familiarizing yourself with its facilities can make writing code in this concise, elegant language a little easier. Familiarize yourself with the library's built-in functions, math modules, and input and output modules. Learn how to get information from the Internet with the HTTP module, and more.This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.

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Learning the Python 3 Standard Library.zip

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📱Learning the Python 3 Standard Library

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