Data Science Articles

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Mae Rice Mae Rice
Updated on October 08, 2024

30 Big Data Examples and Applications

Check out these examples of how companies use big data to predict the next big step.

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Alyssa Schroer Alyssa Schroer
Updated on October 08, 2024

49 Examples of Artificial Intelligence in Business

These companies use AI to enhance business processes, from automating customer support to beefing up cybersecurity.

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Gordon Gottsegen Gordon Gottsegen
Updated on October 07, 2024

26 Machine Learning Examples and Applications to Know

Machine learning is at the helm of social media, self-driving cars and more daily applications.

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Alyssa Schroer Alyssa Schroer
Updated on October 07, 2024

42 Big Data Companies to Know

To unpack big data is to unpack big solutions — check out the companies maneuvering data on a massive scale.

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Rahul Agarwal Rahul Agarwal
Updated on October 07, 2024

A Complete Guide to PySpark DataFrames

Bookmark this cheat sheet. It contains all the information you’ll need on DataFrame functionality.

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Rebecca Vickery Rebecca Vickery
Updated on October 07, 2024

How to Create a Pandas Pivot Table in Python

Pandas’ pivot_table function operates similar to a spreadsheet, making it easier to group, summarize and analyze your data. Here’s how to create your own.

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Suraj Gurav Suraj Gurav
Updated on October 07, 2024

How to Rename Columns in Pandas

Learn how to rename columns in the Pandas Python library. Master these four techniques to deal with messy column names in Pandas DataFrame.

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Gordon Gottsegen Gordon Gottsegen
Updated on October 04, 2024

20 Data Science Companies You Should Know

These data science companies are helping businesses glean insights from massive amounts of data faster than ever before.

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Richmond Alake Richmond Alake
Updated on October 03, 2024

Heap Sort, Explained

Heap sort is a sorting algorithm that organizes elements in an array into a binary heap, and then sorts that heap by moving the largest element in the array. Here’s how to implement it in Python.

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Anuja Nagpal Anuja Nagpal
Updated on October 03, 2024

L1 and L2 Regularization Methods, Explained

L1 and L2 regularization are the best ways to manage overfitting and perform feature selection when you’ve got a large set of features in a machine learning model.

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