k-Nearest Neighbors algorithm from scratch.
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Updated
Jul 10, 2025 - Python
k-Nearest Neighbors algorithm from scratch.
Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
Pick Me A Flick: A content filtering based Movie Recommendation Engine .
This repo contains the movie recommender system which uses vectorization, cosine similarity distance methods to calculate the most similar content based on movie tags/info.
Basic example for searching code semantically in github profiles. In python
App for measuring the similarity between two sentences.
Fast pairwise cosine distance calculation and numba accelerated evolutionary matrix subset extraction 🍐🚀
This Machine learning powered Recommendation Engine suggests Movies for a user based on the user's past intrests by content based filtering. In this ML model the attributes of movies like genres , cast , director , description are taken into consideration while being converted into vector format. The cosine distance is found between the vectors …
Efficient Pairwise Cosine Similarity Computation
Backend application for javascript snippet search engine. Data.csv is from 30 seconds of code's database, https://github.com/30-seconds/30-seconds-of-code/tree/master/snippets
Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization
Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.
Locality sensitive hashing based plagiarism checker
Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric
[PROJECT] A Python based poetry analyzer
Big data homework solutions
Simple KNN using iris data with euclidean distance or cosine distance.
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