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1. Customer-Segmentation-Using-K-Means-Clustering Customer-Segmentation-Using-K-Means-Clustering Public

   Repository for customer segmentation using KMeans clustering, utilizing techniques for data analysis and cluster identification. Includes dataset from Kaggle and open-source tools.

   Jupyter Notebook 2 1

2. harshjuly12 harshjuly12 Public

   I think, I might have done a little over too much with the gifs but eh, it looks more "gLaMoRoUs" now✨

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3. Deep-Learning-Approaches-for-Enhanced-Breast-Cancer-Detection Deep-Learning-Approaches-for-Enhanced-Breast-Cancer-Detection Public

   A deep learning project aimed at early detection of breast cancer by classifying tumors as benign or malignant based on features extracted from cell images. The project demonstrates data preprocess…

   Jupyter Notebook 1

4. Enhancing-Explainability-in-Fake-News-Detection-A-SHAP-Based-Approach-for-Bidirectional-LSTM-Models Enhancing-Explainability-in-Fake-News-Detection-A-SHAP-Based-Approach-for-Bidirectional-LSTM-Models Public

   Enhancing Explainability in Fake News Detection uses SHAP and BiLSTM models to improve the transparency and interpretability of detecting fake news, providing insights into the model's decision-mak…

   Jupyter Notebook 1

5. House-Price-Prediction-Using-Linear-Regression House-Price-Prediction-Using-Linear-Regression Public

   This repository contains code for predicting house prices using the Linear Regression model. It includes data preprocessing, model training, evaluation, and insights into factors influencing house …

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6. Cat-And-Dog-Image-Classification-Using-Support-Vector-Machine Cat-And-Dog-Image-Classification-Using-Support-Vector-Machine Public

   A project using a Support Vector Machine (SVM) to classify images of cats and dogs, implemented in a Jupyter Notebook. It includes data preprocessing, model training, and evaluation steps.

   Jupyter Notebook