data-science-popular-algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

scala

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126 Stars

38 Forks

126 Watchers

Jupyter Notebook Language

Cost to Build

$49.9K

Market Value

$135.9K

How is this calculated?

Growth over time

3 data points · 2022-11-01 → 2025-09-01

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What is the TatevKaren/data-science-popular-algorithms GitHub project? Description: "Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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