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splionar

Stefan Putra Lionar

Recently Published

Modeling and Prediction for Movie Ratings
MODELING (28/02/18) - Building parsimonious linear regression model to predict movie ratings. Codebook and dataset are available on GitHub: https://goo.gl/YrrvUC
Statistical Inference with the GSS Data
EDA (16/02/18) - Use statistical inference to evaluate whether there is there any distinctive proportion of employment types, i.e. self-employed or work for someone else between different races in United States (White, Black, others). Codebook and data are available on GitHub: https://goo.gl/MnraDf
Linear Regression Model of Cars Miles per Gallon
MODELING (19/03/18) - In this project we will build linear regression model to predict miles per gallon (MPG) from mtcars dataset.
Human Activity Predictive Modeling
MODELING (12/03/18) - Predict the manner in which people exercised using data from accelerometers on the belt, forearm, arm, and dumbell. Dataset is available on GitHub repository: https://goo.gl/eTFiAm
Next Word Predictor Milestone Report
EDA (30/04/18) - Milestone report of Data Science Specialization capstone project.This document describes exploratory data analysis on the text corpus and text mining process.
Next Word Predictor
PRESENTATION (02/05/18) - Presentation for Next Word Predictor web application
Candlestick Chart Generator
PRESENTATION (14/03/18) - Presentation for Candlestick Chart Generator web application
World Population 2013 Data Visualization
VISUALIZATION (13/03/18) - Interactive map showing world population in year 2013
Causalties and Economic Consequences due to Severe Weather Conditions in U.S.
EDA (20/02/18) - In this document, we will analyze U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database to address these two questions: 1. Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health? 2. Across the United States, which types of events have the greatest economic consequences?