Projects

Machine Learning Projects

Pneumonia Detection From Chest X-Ray Images Using CNN

Pneumonia Detection From Chest X-Ray Images Using CNN

Pneumonia Detection From Chest X-ray Images using CNN  is a web application built on Python, Django, and Resnet-50 model (Keras Implementation). Convolution Neural Network Resnet-50 is 50 layers deep neural network trained on the Imagenet dataset. Pretrained model can classify images into 1000 objects. So, we used transfer learning to custom train on Chest X-ray … Pneumonia Detection From Chest X-Ray Images Using CNN Read More » ...
Diabetic Retinopathy Detection System

Diabetic Retinopathy Detection System

Diabetic Retinopathy Detection System uses, computer vision technique, deep learning model Densenet to classify the diabetic retinopathy severity on the left and right images provided. This application built on Python, Django, SQLite, and Keras deep learning model Densenet. The model has been trained on the Kaggle Diabetic Retinopathy¬†dataset. Diabetic Retinopath Detection System Deep Learning has … Diabetic Retinopathy Detection System Read More » ...
Stock Market Prediction using Deep Learning

Stock Market Prediction using Deep Learning

The stock market prediction has been a focus for years since it can yield significant profit and can be one of the most rewarding experiences. But at the same time, predicting the stock market is one of the difficult things to do. There are so many factors involved which may affect stock prices. Also, another … Stock Market Prediction using Deep Learning Read More » ...
IRIS Flower Prediction Using Machine Learning Algorithms

IRIS Flower Prediction Using Machine Learning Algorithms

The Iris flower data set or Fisher’s Iris data set is a multivariate data set. The data set consists of 50 samples from each of the three species of Iris (Setosa, Virginica, and Versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on … IRIS Flower Prediction Using Machine Learning Algorithms Read More » ...
Twitter Sentiment Analysis

Twitter Sentiment Analysis

Sentiment analysis, also known as opinion mining, refers to the use of natural language processing, text analysis and computational linguistics to systematically identify, extract, quantify, and study affective states and subjectiveinformation. Sentiment analysis is widely applied to understand the voice of the customer who has expressed opinions on various social media platforms. Sentiment Analysis is the analysis of the feelings … Twitter Sentiment Analysis Read More » ...