Publications by Chhiring Lama

Sentiment Analysis on Sexual Health

07.05.2024

Introduction This analysis involved the collection of data from two sources: the New York Times API and an additional dataset from Kaggle. Following data collection, preprocessing and cleaning steps were performed to ensure the data’s suitability for analysis. Subsequently, sentiment analysis was conducted on the articles, comparing the frequ...

4671 sym R (9999 sym/79 pcs) 2 img

Project_4

19.04.2024

Introduction In this project, I aim to develop a machine learning model to classify emails as either spam or legitimate (ham). I utilize a dataset containing examples of both types of emails, where I preprocess by cleaning and converting into a suitable format for analysis. Leveraging the Naive Bayes classifier, I train the model on a portion o...

1384 sym R (4020 sym/49 pcs)

Data in Context

17.04.2024

2024-04-03 knitr::opts_chunk$set(echo = FALSE) ## ## 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 ## Warning: package 'randomForest' was built under R version 4.3.3 ## randomFo...

1435 sym Python (2993 sym/28 pcs) 1 img

Recommendation System Discussion

03.04.2024

Introduction: Netflix is a leading streaming service that provides a vast array of entertainment options to users worldwide. With its personalized recommendation system based on machine learning algorithms, Netflix aims to offer high-quality content tailored to individual preferences. Scenario Design: Target Users: Netflix’s audience comprise...

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Recommendation System

01.04.2024

Implementing Global Baseline Estimate Recommender System in R Load Libraries #library(tidyverse) 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 library(DBI)...

861 sym R (4631 sym/31 pcs)

Assignment10

30.03.2024

Load libraries 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 library(tidyverse) ## Warning: package 'lubridate' was built under R version 4.3.2 ## ── Att...

947 sym R (8058 sym/47 pcs) 4 img

Web data scrapping using API key

27.03.2024

Introduction This R document will demonstrate how to utilize the Web APIs to scrap the data from different websites. I am using The New York Times API to extract the information about top selling books. library(httr) library(jsonlite) library(request) ## Warning: package 'request' was built under R version 4.3.3 library(dplyr) ## ## Attaching...

357 sym R (31121 sym/15 pcs)

Web data scrapping

21.03.2024

Introduction This R document will demonstrate how to utilize the Web APIs to scrap the data from different websites. I am using The New York Times API to extract the information about top selling books. library(httr) library(jsonlite) library(request) ## Warning: package 'request' was built under R version 4.3.3 library(dplyr) ## ## Attaching...

357 sym R (31121 sym/15 pcs)

Assignment7

05.03.2024

Books Info in 3 different file formats Load libraries 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 library(tidyr) library(xml2) ## Warning: package 'xml2' ...

569 sym R (3344 sym/26 pcs)

Project 2

28.02.2024

Dataset 1 - Purchases log data #Introduction The dataset contains transactional information from purchases made across various cities in the USA, spanning the period from January to December 2012. My focus is specifically on analyzing purchase trends during January and December, periods that coincide with the start of a new school session and t...

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