Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples included. #CosineSimilarity #DataScience #MachineLearning GOP plans to replace ...

Abstract: Information overload is a major problem for many people who use the internet. This is because there is so much information available that it can be hard to know where to start. Filtering ...

Traditional SEO tactics alone aren’t enough to keep ecommerce sites competitive in today’s AI-driven search landscape. To improve search visibility and connect with relevant queries, ecommerce brands ...

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

My first end-to-end project, using Web Scraping with BeautifulSoup and Spotify API. Clustering songs based on its audio features.

Abstract: Genetic algorithms are powerful tools for k-nearest neighbors classifier optimization. While traditional knn classification techniques typically employ Euclidian distance to assess pattern ...