RP-72

RP-72's Stars

• ShahjalalShohag/code-library

  Templates, algorithms and data structures implemented and collected for programming contests.

  Language:C++3k3017796

• vijeth8/Relevance-Ranking-using-Latent-Semantic-Indexing--from-scratch-

  Latent Semantic Analysis Introduction: An information retrieval technique patented in 1988. In the context of its application to information retrieval, it is sometimes called Latent Semantic Indexing (LSI). LSI allows a search engine to determine what a page is about outside of specifically matching search query text. It looks at “Themes” instead of “Keywords”. Linear Algebra techniques used in the project: Singular Value Decomposition, Cosine Similarity, Matrix properties. Dataset: “Sci.space” news group from 20 news groups dataset, available in the Scikit-Learn library. It contains 400 news articles related to space. SVD (Singular Value Decomposition): SVD is a matrix decomposition algorithm, it decomposes a matrix into 3 matrices which are a set to transformations. Decomposition leads to an orthogonal matrix U, Diagonal matrix S and a Diagonal Matrix V. This is the best possible transformation of a matrix. In this decomposition method we are looking for a set of orthonormal basis in the row space that when multiplied by the original matrix goes to an orthonormal basis in the column space.Av1 = σ1u1  Av2 = σ2u2 

  Language:Jupyter Notebook161013

• PClub-Ahmedabad-University/CP101

  A respository for sharing material for CP101

  Language:C++10103

• RP-72/Latent-Semantic-Indexing-from-scratch

  Information retrieval and text mining using SVD in LSI. SVD has been implemented completely from scratch.

  Language:Python8102

• DipikaPawar12/Pregnancy-Outcomes

  Language:TeX5000

• Programming-Club-Ahmedabad-University/Competitive-coding

  Solutions to competitive prgramming questions on codeforces and codechef.

  Language:C++4103

• RP-72/Netlix-clone-using-React

  Language:JavaScript3100