anuj-glitch/Neural-Collaborative-Filtering-recommendation

Stars
1
Language
Jupyter Notebook
Created over 4 years ago
Updated over 4 years ago

anuj-glitch/Neural-Collaborative-Filtering-recommendation

anuj-glitch

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Implemented collaborative filtering technique using deep neural networks for movie recommendation system.

Disease-Prediction-using-Django-and-machine-learning

**A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrences of disease on the basis of various symptoms. The user can select various symptoms and can find the diseases and consult to the doctor online.

Movie-Recommender-System

content-based recommendation systems to recommend a movie to a user based upon the description of the movies, and a profile of the user’s interests.

Jupyter Notebook

Image-Super-Resolution

Image Super Resolution Using Autoencoders in Keras, Design and train this deep learning powered autoencoder to significantly enhance the quality of images. That is, this neural network will create high-resolution images from low-res source images.

Jupyter Notebook

Hackathon-Ranked-10

Rank 10 Solution for Recommendation system Hackathon, organized in Analytics Vidhya.

Jupyter Notebook

rc-info-extractor

Developed a text detection model for reading RCs using Tesseract optical character recognition engine in python, and used Image enhancement functions for preprocessing the RC images.

Jupyter Notebook