Publications by By : Bayu Raka Janasri
Temperature Forecasting - Time Series
1 Introduction Hello everyone !!! The Dataset is Indian climate, this dataset provides data from 1st January 2013 to 24th April 2017 in the city of Delhi, India. The 4 parameters here are meantemp, humidity, wind_speed, meanpressure. At this moment we will build some models for predict temperature using this dataset. Source: https://www.kaggle.c...
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Wholesale Unsupervised Learning
Source Dataset :https://www.kaggle.com/binovi/wholesale-customers-data-set 1 Import Library library(tidyverse) library(ggplot2) library(ggpubr) library(FactoMineR) library(factoextra) library(scales) library(GGally) 2 Read Data wholesale <- read.csv("wholesale.csv") glimpse(wholesale) ## Rows: 440 ## Columns: 8 ## $ Channel <int> 2, 2,...
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Heart Disease Prediction
1 Introduction Heart disease is the leading cause of death in the United States, causing about 1 in 4 deaths. The term “heart disease” refers to several types of heart conditions. In the United States, the most common type of heart disease is coronary artery disease (CAD), which can lead to heart attack. This dataset is from Cleveland which ...
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Detecting SMS Spam Using Machine Learning
1 Introduction Always get spam sms from anonim number? We get same problem here!! So this time we will build machine learning model for detecting spam messages. Source dataset : https://www.kaggle.com/shravan3273/sms-spam 2 Import Library library(dplyr) library(e1071) library(tm) library(caret) library(wordcloud) library(RColorBrewer) 3 Read D...
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Crime Rate Prediction
1 Introduction We will make crime rate prediction using linear regression model to see what are important variabel. 2 Setup Library library(tidyverse) library(caret) library(GGally) library(car) library(lmtest) 3 Load dataset crime <- read.csv("crime.csv") glimpse(crime) ## Rows: 47 ## Columns: 16 ## $ percent_m <int> 151, 143, 142, ...
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P2P Lending Default Prediction
1 Introduction Indonesia has the world’s 16th largest economy and is the world’s fourth most populous country with 274 million people, out of these 84% below the age of 54. With Internet penetration standing at 67% and financial inclusion remaining a key challenge, Indonesia offers a fertile ground for fintech innovation. Indonesia’s fast-g...
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