A project based on Machine Learning in Python. A dataset containing 855000 observations and 72 variables belongs to a company named XYZ Corp. Based on the data that is available during loan application, my task was to build a model to predict default in the future. This will help the company in deciding whether or not to pass the loan.
 

A project based on Convolutional Neural Networks(using TensorFlow backend). Predict between a Cat or a Dog. The dataset contains 10000 images, 5000 belonging to Cats and the rest 5000 belonging to Dogs. The training_set contains 8000 images while the test_set contains 2000 images.
 

 Sentiment Analysis of movie reviews using NLTK. 

Recognition of handwritten text using CNN with Tensorflow

 A collaborative movie recommendation system built with the LightFM Algorithm and deployed using Flask Restful API.