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  1. Book-Search---Recommendation-System-with-HTML-CSS--JS-Wikipedia-API-Flask----Collaborative-Filtering Book-Search---Recommendation-System-with-HTML-CSS--JS-Wikipedia-API-Flask----Collaborative-Filtering Public

    Wanderlust Reads is a Flask-driven book application that uses Wikipedia API for book searching and techniques like Collaborative Filtering using the KNN model for recommendations. It uses HTML, CSS…

    Jupyter Notebook 1 1

  2. Bitcoin-Price-Forecasting-with-Linear-Regression-Polynomial-Regression-and-ARIMA Bitcoin-Price-Forecasting-with-Linear-Regression-Polynomial-Regression-and-ARIMA Public

    Forecast Bitcoin daily closing prices using a Python repository featuring regression and time series models. From Linear and Polynomial Regression to ARIMA, gain insights into cryptocurrency trends…

    Jupyter Notebook 1

  3. graphe_layout_using_d3.js graphe_layout_using_d3.js Public

    GRAPHI is a web-based tool for visualizing graphs using custom D3.js layouts. It allows users to upload adjacency matrices, analyze graph types, and select from layout options like Grid, Chord, Sug…

    HTML 1

  4. Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN Public

    the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosi…

    Jupyter Notebook 1

  5. Image-Segmentation-with-Lazy-Snapping-and-K-Means-Clustering Image-Segmentation-with-Lazy-Snapping-and-K-Means-Clustering Public

    This Jupyter notebook demonstrates image segmentation using Lazy Snapping and K-Means Clustering. It showcases how these algorithms can partition an image into segments based on pixel intensity and…

    Jupyter Notebook 1

  6. HR-Analytics-Dashboard-using-Python-and-Tableau HR-Analytics-Dashboard-using-Python-and-Tableau Public

    This project features an HR analytics dashboard using a synthetic dataset generated with Faker and pandas. The dashboard offers insights into employee demographics, income and hiring trends, and ge…

    Jupyter Notebook