TatevKaren/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.
This project provides practical, ready-to-use implementations of popular data science algorithms. It helps analysts and researchers understand and apply techniques like recommender systems, classification, and clustering to their own datasets. You can input structured data, for example, customer behavior or movie ratings, and get out predictions, classifications, or groupings of your data.
134 stars. No commits in the last 6 months.
Use this if you need to understand and apply fundamental data science algorithms to classify, group, or recommend based on your data.
Not ideal if you're looking for bleeding-edge research algorithms or a low-code drag-and-drop solution.
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134
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39
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Jupyter Notebook
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Last pushed
Dec 21, 2023
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