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data-mining

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This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.

  • Updated Jun 12, 2024
  • Jupyter Notebook

This project aims to compare traditional Machine Learning methods for tabular data classification, such as Ensemble methods, Decision Trees, and Naive Bayes, with NLP classification methods like Multinomial Naive Bayes, RNNs, and Transformers. We are utilizing survey data from the CDC via the Behavioral Risk Factor Surveillance System (BRFSS)

  • Updated Jun 12, 2024
  • Jupyter Notebook

Proyek ini dikembangkan untuk melakukan analisis mendalam terhadap sentimen yang muncul terkait penerima KIPK (Kartu Indonesia Pintar Kuliah) berdasarkan cuitan dari X. Tujuan utama adalah untuk mengungkap sejauh mana distribusi penerima KIPK mungkin telah menyasar kelompok yang salah di lingkungan perguruan tinggi.

  • Updated Jun 12, 2024
  • Jupyter Notebook

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