Code for the blog post Nearest Neighbors with Keras and CoreML
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Updated
May 13, 2019 - Jupyter Notebook
Code for the blog post Nearest Neighbors with Keras and CoreML
This repository contains a Jupyter notebook with sample codes from basic to major NLP processes required for dealing with text.
This repository contains introductory notebooks for recommendation system.
A notebook for movie and TV show recommendations using Boolean and TF-IDF methods. Get personalized suggestions based on text descriptions and choose the method that suits your preferences.
This repo contains jupyter notebook file for my blog about Spotify Recommendation Engine in Section.IO
Jupyter Notebook illustrates and compares different approaches to sentence similarity scoring.
Recommendation System for games done using python and written in jupyter notebook.
A Jupyter Notebook containing methods for common tasks related to the field of Natural Language Processing
An academic project to find the most similar image to the given input image, based on Image Processing, Cosine Similarity Model, StreamLit, written primarily in Python using Visual Studio Code and Jupyter Notebook
This repository houses 3 different Jupyter Notebooks that each analyze the similarity in data points to most effectively inform customer recommendations in the retail space.
Portfolio Project.ipynb and Recommendation.py are the finalized Jupiter notebook scripts for this project. Other files are a work in progress to migrate into a web app.
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
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