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Rupak Karki

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Articles by Rupak Karki

Approaching a Machine Learning Problem

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By Rupak Karki, Chris Lovejoy, Christopher Tao, Roman Orac
| Towards Data Science
I have saved the dataset as heart.csv in the same directory as the notebook. Let’s load it using Pandas. import pandas as pd heart = pd.read_csv('heart.csv') heart here is the pandas DataFrame that is created out of our csv file. Using this DataFrame, we can access several methods and properties of our data. Let us have a look at the shape of our data. heart.shape (303, 14) The tuple (303, 14) means we have 303 rows and 14 columns. To be more specific, our dataset contains 303 records and 14 features.
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Beginner’s Guide to Creating an R Shiny App

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By Yasmine Hejazi, Lamothe Thibaud, George Pipis, Rupak Karki
| Towards Data Science
A step-by-step tutorial of creating an R Shiny app from scratch Photo by Author The R Shiny framework is a package from RStudio that makes it incredibly easy to build interactive web applications with R. R Shiny is awesome in the sense that it allows you to create highly effective data reports and visualizations where the user can explore a data set. Along with Shiny elements, you can use HTML elements to stylize your content in your application.
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