Publications by Muhammad Rizki Maulana
Japan Hostel Clustering using K Means Algorithm
Objective The objective of this model is to create a clustering of hostel in Japan based on several parameters including: Starting price (JPY) Distance from city centre Rating score Rating band Atmosphere score Cleanliness score Facilities score Location score Security score Staff score Value for money score This model also can be used as recom...
1632 sym R (6398 sym/31 pcs) 8 img
Predicting Master Degree Admission using Naive Bayes, Decision Tree, and Random Forest
Objective The objective of this model is to create model to determine whether someone is admitted to Master Degree Program or not, based on several predictors including: GRE Scores ( out of 340 ) TOEFL Scores ( out of 120 ) University Rating ( out of 5 ) Statement of Purpose and Letter of Recommendation Strength ( out of 5 ) Undergraduate GPA ( ...
2128 sym R (11303 sym/55 pcs) 2 img
Heart Disease Prediction using Logistic Regression and K-NN
Heart Disease Prediction M Rizki Maulana 1/16/2021 Objective The objective of this model is to classify does a patient has heart disease or not based on several predictors. The predictors that used are: Age Sex (Male = 1, Female =2 ) Chest pain type (Asymptomatic = 0, Atypical angina = 1, Non-anginal pain = 2, Typical agine = 3) Blood pressure ...
2368 sym R (9547 sym/49 pcs)
Simple Exploratory Data Analysis for Car Specification and Featurest
Objective The objective of this document is to gain information on what are the specifications and features of a car that is available in the market Data Source The data is obtained from this link https://www.kaggle.com/CooperUnion/cardataset Input data car_data <- read.csv("car_data.csv") Data Inspection head(car_data) ## Make Model Ye...
1877 sym R (18004 sym/28 pcs) 4 img
Predicting Start Up Profit Using Linear Model
Objective The objective of this model is to predict the the profit of startup. This dataset consider several spend on R&D, Admin, Marketing, and Location of Startup Data Source The data is obtained from this link https://www.kaggle.com/amineoumous/50-startups-data Data Preprocessing Data Input db <- read.csv("50_Startups.csv", ...
1638 sym R (8650 sym/68 pcs) 4 img
Energy Demand Forecasting using Exponential Smoothing and ARIMA
Objective The objective of this forecast is to develop a prediction model of energy demand (MWh/day) in Victoria, Australia. The model is developed based on daily energy demand from January 1st 2015 until October 6th 2020. Data Source The data is obtained from this link https://www.kaggle.com/aramacus/electricity-demand-in-victoria-australia Li...
2460 sym R (6343 sym/62 pcs) 8 img