Pinned Repositories
action-repo
assignments
bank
club-orientation
College-Management-System
Build a College Management System using File Management concept in C language
Competitive-Programming-CP
cp-codeforces
DSA
Latent-Semantic-Indexing-from-scratch
Information retrieval and text mining using SVD in LSI. SVD has been implemented completely from scratch.
Netlix-clone-using-React
RP-72's Repositories
RP-72/Latent-Semantic-Indexing-from-scratch
Information retrieval and text mining using SVD in LSI. SVD has been implemented completely from scratch.
RP-72/Netlix-clone-using-React
RP-72/action-repo
RP-72/assignments
RP-72/bank
RP-72/club-orientation
RP-72/College-Management-System
Build a College Management System using File Management concept in C language
RP-72/Competitive-Programming-CP
RP-72/cp-codeforces
RP-72/DSA
RP-72/Instagram-clone
An Instagram clone made using ReactJS and hosted via Firebase. The clone consists of the following features:user verification, uploading photos and commenting on other’s photos.
RP-72/Internet-Movies-Data-Base
RP-72/note_prediction
RP-72/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
RP-72/review-editor
RP-72/setup
RP-72/user-authentication
user authentication using react and firebase
RP-72/user-authentication-using-react
A react app which uses firebase to authenticate users
RP-72/vendor-eyes-frontend
RP-72/visualizaing_and_predicting_stocks