Discover debashishnanda/Diabetic-Retinopathy-Detection Open Source

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debashishnanda

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A Deep Neural Network (using InceptionV3) algorithm for automated detection of diabetic retinopathy by training it on retinal Fundus images provided by the EyePACS and Messidor-2 Clinical Validation Sets.

Facial-Key-Points-detection

Recognition and determining the emotion of the person on the camera by suitable training against their data. These facial points play an important role.

Jupyter Notebook

Hackerearth-Challenge

HackerEarth Machine Learning challenge: Calculating the severity of an airplane accident.

Jupyter Notebook

Sentiment-Analysis

This particular set of code carries out sentiment analysis on the tweets on our Honorable Prime Minister Narendra Modi using Tweepy and TextBlob.

Jupyter Notebook

My-website

Practice webpage

Stock-Market-Prediction

This Learning and prediction on a time series data is done using Recurrent Neural Networks or LSTM(Long Short Term Memory) models to take the data coming over time, find and learn specific features and trends in data, and predict accordingly.

Jupyter Notebook

NandaCoursera

JavaScript

hello-world

coursera

Practice webpage html css JS

HTML

tfjs-exercise

debashishnanda/Diabetic-Retinopathy-Detection

debashishnanda

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