nikitaa30/Content-based-Recommender-System

Stars
70
Rank 447,840 (Top 9 %)
Language
Python
Created almost 6 years ago
Updated about 4 years ago

nikitaa30/Content-based-Recommender-System

nikitaa30

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

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

Manga-GAN

Generative Adversarial Network for Manga-face Generation

Recommender-Systems

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

Jupyter Notebook

Image-Compression-using-ML-and-Neural-Networks

This repository contains Image compression techniques employing various machine learning and deep learning techniques.

Jupyter Notebook

Art-and-Soul

A website based on Neural Style Transfer

Spam-Filtering-techniques

Employing various Machine Learning and Natural Language processing techniques for Spam filtering

Jupyter Notebook

Facebook-Comment-Prediction-with-Linear-Regression

Predicting the number of comments on a post with Linear Regression, built from scratch.

Jupyter Notebook

Collaborative-Filtering-Model

Uses Auto Encoders based on Neural Networks For COllaborative filtering

Face-Recognition

Uses DLIB library for face recognition.

Keyword-Extraction

Extraction of keyowords from a given programming language document

webhook_for_dialgoflow

A webhook for connecting to database through dialogflow agent

Blogbuzz

A Blog Website based on Django