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  • University of Southern California

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  1. Texture-Segmentation-by-K-Means-Clustering Texture-Segmentation-by-K-Means-Clustering Public

    Texture Segmentation is a pixel-based process of identifying segments of textures in a given image by extracting features from each pixel. Here the K-Means clustering algorithm is used to classify …

    C++ 1

  2. PM2.5-Pollutant-Concentration-Prediction PM2.5-Pollutant-Concentration-Prediction Public

    PM2.5 Pollutant level prediction (Regression)

    Jupyter Notebook 1

  3. PatternClassification-Bank-Data-set PatternClassification-Bank-Data-set Public

    Data Pre-processing and Classification on Bank Marketing dataset, The goal is to predict if a client will agree to subscribe to a term deposit given a data with client information and marketing sta…

    Python

  4. GUI-based-TFAP GUI-based-TFAP Public

    Python

  5. Handwritten-Digit-Recognition-on-MNIST Handwritten-Digit-Recognition-on-MNIST Public

    This project is a Handwritten-digit Recognition system to classify 60000 images from MNIST dataset. The Deep learning architecture was constructed employing two approaches; Convolutional Neural Net…

    Jupyter Notebook

  6. Named-Entity-Recognition Named-Entity-Recognition Public

    This is a Natural Language Processing platform to perform Named Entity Recognition on Tweets using Recurrent Neural Network(RNN)

    Jupyter Notebook