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kaggle-datasets

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This repository contains notebooks in which I have implemented ML Kaggle Exercises for academic and self-learning purposes. In my notebooks, I have implemented some basic processes involved in ML Data Processing like How to take care of Missing Values, Handling Categorical Variables, and operations like mapping, 'Grouping', 'Sorting', 'Renaming …

  • Updated Sep 13, 2020
  • Jupyter Notebook

AniSearchModel leverages Sentence-BERT (SBERT) models to generate embeddings for synopses, enabling the calculation of semantic similarities between descriptions. This allows users to find the most similar anime or manga based on a given description.

  • Updated Oct 30, 2024
  • Python
ML-Model-Datasets-Using-Streamlits
Machine-Learning-Using-Python

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