Nabha Shahin

Clothing Store Lesson from CodeHS

If you're just starting out with programming on CodeHS, the Clothing Store lesson is a great introduction to working with variables, user input, and simple math operations — all within a fun and relatable scenario. In this lesson, you're basically simulating a basic checkout system for a clothing store. It’s pretty…

Java

Answered Apr 7, 2025 · 604 Views Read answer →

What are the key features of SageMaker, and how can you use it to build machine learning models?

AWS SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning (ML) models at scale. It simplifies the entire ML lifecycle, from data preparation to model deployment. Here are the key features of SageMaker and how it can be used to build ML models: Key…

AWS

Answered Jan 1, 2025 · 977 Views Read answer →

Python random state in splitting dataset

To solve the train test split random state, you should go through the answer further: Random_state can be 0 or 1 or any other integer. It should be the same value if you want to validate your processing over multiple runs of the code. By the way, I have seen random_state=42 used in various official examples of scikit.…

Python

Answered Mar 9, 2021 · 1.1K Views Read answer →

How to pass environment variable to the buildspec.yml for AWS codebuild

AWS

Answered Mar 9, 2021 · 1.1K Views Read answer →

Create a function that accepts two arguments, an integer and a vector of integers. It returns TRUE if the integer is present in the vector, otherwise it returns FALSE.

Let us create a function which returns TRUE and FALSE based on the condition num_check

Data Science

Answered Jan 2, 2020 · 2.4K Views Read answer →

Explain with a case study how to perform a Naive Bayes analysis using R.

To perform a Naive Bayes analysis let us read the following data First we will import the data both for training and testing training_set = read.csv(file.choose())#salary_train test_set = read.csv(file.choose())# salary_test Now we will encode the target feature as factor # Encoding the target feature as factor…

Data Science

Answered Nov 21, 2019 · 1.0K Views Read answer →

Explain with a case study of implementing simple linear regression using R.

# Simple Linear Regression First we will import the dataset dataset = read.csv('Salary_Data.csv') Now we split the dataset into the Training set and Test set # install.packages('caTools') library(caTools) set.seed(123) split = sample.split(dataset$Salary, SplitRatio = 2/3)

Data Science

Answered Nov 21, 2019 · 1.1K Views Read answer →