Publications by Madeleine Erica Nauli
Linear Regression on Graduate Admissions
Introduction A simple modeling with college admissions data obtained from https://www.kaggle.com/mohansacharya/graduate-admissions Objective : Predict graduate admissions with linear regression Analyze relationships between target and predictor variables Data Preparation Loading the required packages for this simple modeling library(dplyr) lib...
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Best-Selling Nintendo Switch Games Dashboard
Best Seller Games Nintendo Switch Games Dashboard Page 1 Column Top 10 Copies Sold Based On Publisher and Developer Top 10 Copies Sold Based on Genre Column Best Seller Games Based on Genre Data Data Source https://www.kaggle.com/rushikeshhiray/top-selling-switch-games Page 2 column Sales Time by Copy Sold and Genre column Copies ...
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PCA and K-Means Clustering on Countries Data
Introduction Business Goal A multinational company is looking for a country to expand to. To be completely unbiased, the company assigns it’s data scientist to perform a categorization of countries based on it’s socio-economic factors. The result of the categorization will be used in a board of directions meeting so the company can make a de...
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Term Deposit Suscriptions Prediction With Classification Models
Introduction We are going to do a simple classification model with a data from kaggle, we are going to do some classification machine learning model on a bank marketing data which predicts whether and individual will end up making a deposit or not. This data is obtained from https://www.kaggle.com/janiobachmann/bank-marketing-dataset Data Prepar...
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Income Prediction With Classification Models
Introduction In this project we are going to explore and predict data from the UCI Machine learning repository on Kaggle, this data is comprised of information about the correspondents’ demographics. Our objective is to do some exploratory data analysis and classification using the data. This data is obtained from : https://www.kaggle.com/uciml...
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Seasonal Time Series Forecasting
Introduction Time series forecasting scopes the process of making predictions about the future based on past data. To perform time-series forecasting, there are pre-requisites terms that our data shall follow : There shouldn’t be any missed periods There shouldn’t be any missing values The data must be historically ordered A time series dat...
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Stroke Prediction with Deep Learning
Introduction In this project, we are going to attempt doing a stroke prediction using a deep learning model from the keras library using the dataset obtained from Kaggle. According to the Mayo Clinic, Stroke is a medical condition in which the flow of blood to the brain is reduced or blocked completely. Stroke risk factors includes pre-existing m...
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