Data-Science-Projects

1. BHP - Banglore House Price Prediction is end to end web application which can predict the house price in Bangalore City, India from given parameters such as-

   • Location in the city
   • BHK
   • Total Sqft of house
   • No. of Bathrooms

2. Street view house numbers

   • Built a GAN using convolutional layers to generate new, realistic-looking images of house numbers.
   • Dataset : Street View House Numbers
   • Paper : Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

3. Sentiment Analysis Web application

   • Built an RNN performing sentiment analysis on movie reviews complete with publicly accessible API and a simple web page which interacts with the deployed endpoint.
   • Deployed on AWS SageMaker

4. Iris Flower Classification

   • Built an end to end web application which classifies IRIS Flowers based on 4 classes.
   • 4 classes are-
     • sepal_length: Sepal length, in centimeters, used as input.
     • sepal_width: Sepal width, in centimeters, used as input.
     • petal_length: Petal length, in centimeters, used as input.
     • petal_width: Petal width, in centimeters, used as input.
     • class: Iris Setosa, Versicolor, or Virginica, used as the target.