This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove Cross Validation Remove Data Wrangling Remove EDA Related Topics
Hypothesis Testing Support Vector Machines Exploratory Data Analysis Decision Trees Supervised Learning Cloud Computing Clustering SQL Data Analysis Big Data More Related Topics >
article thumbnail

Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

FEBRUARY 12, 2024

Data Wrangling and Cleaning Interviewers may present candidates with messy datasets and evaluate their ability to clean, preprocess, and transform data into usable formats for analysis. What is cross-validation, and why is it used in Machine Learning? Here is a brief description of the same.

Data Science 52
Data Science Cross Validation Machine Learning Machine Learning 52
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 20,000+ professionals by signing up for our newsletter

About
Webinars
About
Editions
Webinars
Editions
Topics
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024