Prithwish Raymahapatra's repositories

Skin-Cancer-Detection

Here , A latest CNN Architecture ConvNeXtLarge has been used to create an efficient model to classify various Skin Cancer Images in two classes Benign and Malignant. This model has the accuracy of 91% and AUC of 91% .

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VGG16-Model-For-Brain-Tumor-Image-Classification

MRI Images of Brain Tumors are classified in different classes. The Accuracy of this Model is 92% and AUC is 95%

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Spam-Email-Classification

A multinomial naive bayes model for spam email classifiation

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Text-Sentiment-Analysis

This is a Deep Learning RNN LSTM model trained on a dataset containing sentences and there emotion in binary and has achieved an accuracy of 98.88 % .

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Multiple-Linear-Regression-Model-

This is a multiple linear regression model train on a dataset with 1993 datas for the prediction of polics requirement in a countryu based on its population and crime rate. The Accuracy of this Model is Above 90%

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it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

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Subsquence-of-a-string-in-C

This code is to find out the subsequences in a string

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