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University of Southern California
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Texture-Segmentation-by-K-Means-Clustering
Texture-Segmentation-by-K-Means-Clustering PublicTexture 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
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PM2.5-Pollutant-Concentration-Prediction
PM2.5-Pollutant-Concentration-Prediction PublicPM2.5 Pollutant level prediction (Regression)
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PatternClassification-Bank-Data-set
PatternClassification-Bank-Data-set PublicData 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
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Handwritten-Digit-Recognition-on-MNIST
Handwritten-Digit-Recognition-on-MNIST PublicThis 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…
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Named-Entity-Recognition
Named-Entity-Recognition PublicThis is a Natural Language Processing platform to perform Named Entity Recognition on Tweets using Recurrent Neural Network(RNN)
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