Publications by Sudhan Maharjan
final_project
Final Project For the final project, I will be using the MovieLense dataset since, I have been using it for my previous projects also and I feel familiar with the dataset and its contents. Dataset This dataset is available publicily online at https://grouplens.org/datasets/movielens/ I have downloaded the dataset and put it in my github account....
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final_project_proposal
The goal for your final project is for you to build out a recommender system using a large dataset (ex: 1M+ ratings or 10k+ users, 10k+ items. There are three deliverables, with separate dates: [1] Planning Document Find an interesting dataset and describe the system you plan to build out. If you would like to use one of the datasets you have alr...
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RD4
I liked the Pinterest article. Yes, this is one of the big issue of internet. Anyone can put their opinion on web and call it an article without any facts. You don’t need any fact to believe someone. If you like an article, you start reading and that’s what they want. They want to brainwash you. Without knowing you might get involved in these...
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Project5
Project 5 The goal of this project is give you practice beginning to work with a distributed recommender system. It is sufficient for this assignment to build out your application on a single node. Adapt one of your recommendation systems to work with Apache Spark and compare the performance with your previous iteration. Consider the efficiency o...
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RD3
Recommender Systems is one of the good way to help users recommend new and relevent products like movies, music, jobs, etc. It makes your life easy by recommending a movie that is a hot and happeing, find a job that you might want to apply, show you the list of songs that matches your taste. #Benefits of recommender systems https://www.certona.co...
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Assignment2
Homework 2 Consider a dataset as shown below: #importing required librarires library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union #importing the dataset from github da...
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Assignment1
Assignment 1 Question 1 You have been hired by a local electronics retailer and the above dataset has been given to you.Manager Bayes Jr.9th wants to create a spreadsheet to predict is a customer is likely prospect. To that end 1)Compute prior probabilities for the Prospect Yes/No Compute the conditional probabilities: P(age-group=youth|prospec...
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project4
ACCURACY AND BEYOND The goal of this assignment is to give you prcatice working with accuracy and other recommender system metrics. For this Project, I am using the dataset from UCI repository. http://eigentaste.berkeley.edu/dataset/ I am using the “Jester” Joke Recommender System dataset which has more than 6 million ratings of jokes by diff...
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DATA698
CUNY SPS DATA 698 - RESEARCH PROPOSAL Research Draft Health Inspection in NYC Introduction The New York City Department of Health and Mental Hygiene (DOHMH) is the department of government of New York City responsible for public health along with issuing birth certificates, dog licenses, and conducting restaurant inspection and enforcement. Th...
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Project3
The goal of this assignment is give you practice working with Matrix Factorization techniques. Your task is implement a matrix factorization method—such as singular value decomposition (SVD) or Alternating Least Squares (ALS)—in the context of a recommender system. You may approach this assignment in a number of ways. You are welcome to start...
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