Publications by Dodo NR
Trending Traffic of Youtube Video
library(dplyr) library(tidyr) library(ggplot2) library(scales) library(lubridate) library(extrafont) Read Data Ytrend <- read.csv2("youtubetrendsc.csv") Data Processing library(lubridate) ## ## Attaching package: 'lubridate' ## The following objects are masked from 'package:base': ## ## date, intersect, setdiff, union Ytrend$trend...
202 sym R (2615 sym/18 pcs) 2 img
Trending of Youtube Video
Trending of Youtube Video Column The Top 3 Categories Daily Expression Column Dislike Ratio vs Like_ratio per Category Youtube Viceo Trending Traffic ...
205 sym
LBB_C2_BM
1. Background 1.1 Intro The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (‘yes’) or not (‘no’) subscribed. The classificati...
8520 sym R (14561 sym/58 pcs) 7 img
LBB UL : Data Wholesale
1 Background 1.1 Intro In this LBB, we will use data wholesale.csv that been provided by Algoritma at Classification in Machine Learning 1, where channel as variable target to be explore to analyze how the influence on variables on a data that has been grouped as channel. 1.2 Library library (ggplot2) library (cluster) library (dplyr) librar...
2156 sym R (5534 sym/33 pcs) 7 img
LBB_DV_Titanic
1. Background 1.1 Intro RMS Titanic adalah sebuah kapal penumpang super Britania Raya yang tenggelam di Samudera Atlantik Utara pada tanggal 15 April 1912 setelah menabrak sebuah gunung es pada pelayaran perdananya dari Southampton, Inggris ke New York City. Tenggelamnya Titanic mengakibatkan kematian sebanyak 1.514 orang dalam salah satu bencan...
5140 sym R (14498 sym/51 pcs) 6 img
Linear Regression on House Pricing Prediction
Background Intro We will learn to use linear regression model using house prices dataset. We want to know the relationship among variables, especially between the price of house with other variables. The data is taken from kaggle, and from the description it seemed that the data is computer generated.The main focus is on analyzing the factors wh...
3423 sym R (12654 sym/55 pcs) 3 img
LBB Programming for Data Science
library(gridExtra) library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.1 -- ## v ggplot2 3.3.5 v purrr 0.3.4 ## v tibble 3.1.2 v dplyr 1.0.7 ## v tidyr 1.1.3 v stringr 1.4.0 ## v readr 2.0.0 v forcats 0.5.1 ## -- Conflicts ------------------------------------------ tidyver...
2865 sym R (8057 sym/36 pcs) 3 img
LBB_C1
1. Background 1.1 Intro Pada LBB ini saya akan menggunakan dataset yang sudah disediakan oleh tim Algoritma yaitu data wholesale.csv dimana kita akan mencoba eksplorasi target variabel channel untuk dilakukan analisis terhadap variabel-variabel yang sangat mempengaruhinya. Ada 2 metode yang akan saya gunakan dalam LBB ini yaitu logistic regressi...
1727 sym R (7968 sym/39 pcs)
LBB Time Series Forecasting
1 Background 1.1 Intro Time series. A time series is simply a series of data points ordered in time. In a time series, time is often the independent variable and the goal is usually to make a forecast for the future. Time series data often arise when monitoring industrial processes or tracking corporate business metrics. The essential difference...
6494 sym R (11510 sym/82 pcs) 7 img