rajeshtulluri
Student at Lovely Professional University, B.tech computer science and engineering.
Punjab
Pinned Repositories
Cricket-Analytics-IPL-Dataset
Indian Premier League (referred to as IPL) is an annual cricket tournament that is conducted every year in the Indian subcontinent. The objective of this project is to analyze the IPL tournament data set and to generate insights for teams based on their performances at different venues. The major part of the project involves analyzing the data collected over the past nine seasons of IPL from 2008 to 2016 and explore insights that are not commonly perceived. The performance of teams across venues and across time is analyzed using tools like SQL, R and Tableau. Finally, a summary of the analysis is also presented as per the findings from the analysis.
MagicVilla_API
movie-recommendation-algorithms
CS 403/725 (Machine Learning) Project
Movie-Recommendation-System-using-Machine-Learning
This is a Movie Recommendation System which is used to recommend the movies to the user based on the user's previous watch history and ratings.It also performs sentiment analysis on the user reviews.This is build using Design Patterns and Natural Language Processing.The Interface of the model is build using Flask.
movielens-posters
IMDb URLs and posters for movies in the MovieLens 100K dataset
Movies-TVShows-Android-App
An Android application which shows info about all the Movies and TVShows like imdb.
MovieSearch
Searching movies from TMDB api
MyApp
First .net console app
Myproject
operating system project
project1
operating system project
rajeshtulluri's Repositories
rajeshtulluri/Cricket-Analytics-IPL-Dataset
Indian Premier League (referred to as IPL) is an annual cricket tournament that is conducted every year in the Indian subcontinent. The objective of this project is to analyze the IPL tournament data set and to generate insights for teams based on their performances at different venues. The major part of the project involves analyzing the data collected over the past nine seasons of IPL from 2008 to 2016 and explore insights that are not commonly perceived. The performance of teams across venues and across time is analyzed using tools like SQL, R and Tableau. Finally, a summary of the analysis is also presented as per the findings from the analysis.
rajeshtulluri/MagicVilla_API
rajeshtulluri/movie-recommendation-algorithms
CS 403/725 (Machine Learning) Project
rajeshtulluri/Movie-Recommendation-System-using-Machine-Learning
This is a Movie Recommendation System which is used to recommend the movies to the user based on the user's previous watch history and ratings.It also performs sentiment analysis on the user reviews.This is build using Design Patterns and Natural Language Processing.The Interface of the model is build using Flask.
rajeshtulluri/movielens-posters
IMDb URLs and posters for movies in the MovieLens 100K dataset
rajeshtulluri/Movies-TVShows-Android-App
An Android application which shows info about all the Movies and TVShows like imdb.
rajeshtulluri/MovieSearch
Searching movies from TMDB api
rajeshtulluri/MyApp
First .net console app
rajeshtulluri/Myproject
operating system project
rajeshtulluri/project1
operating system project