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Rajesh Kumar Bandaru's Projects

fullstack-course4 icon fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

hybrid_recommender_system icon hybrid_recommender_system

A hybrid recommendation system (Collaborative Filtering + Content-based Filtering) to suggest movies to the user based on users' history as well as the plot of the movie.

kmodes icon kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

matrix_operations_package icon matrix_operations_package

A python package to perform Matrix operations such as Addition, Subtraction, Multiplication, Division, Transpose, Determinant, inverse.

plagiarism_detector icon plagiarism_detector

A classification model was built to predict the text to be plagiarized or not by comparing it with the original text. Similarity features such as containment and Longest Common Subsequence are used to build the model. Support Vector Machine is used to build the model after comparing it with various classification algorithms.

py4e icon py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pythonoop icon pythonoop

The Original Code repository for my Python OOP Series

rspapers icon rspapers

A Curated List of Must-read Papers on Recommender System.

sentiment_analysis_deployment icon sentiment_analysis_deployment

A sentiment analysis model was built to predict the sentiment of a review using Amazon's SageMaker Tools. A website was built to ask the user a review to predict it's sentiment. Using AWS's Lambda and API Gateway tools information was passed from model to webpage and vice-versa to predict the sentiment of the review.

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