Call Us Now!
+91 9884412301 | +91 9600112302
info@credosystemz.com
Credo SystemzCredo Systemz
  • Courses
    • TRENDING TECHNOLOGIES TRAINING
    • RPA TRAINING
    • CLOUD COMPUTING TRAINING
    • BIG DATA TRAINING
    • WEB DEVELOPMENT TRAINING
    • MOBILE APPLICATION TRAINING
    • SOFTWARE TESTING TRAINING
    • MICROSOFT TECHNOLOGIES TRAINING
    • JAVA TRAINING
    • PROJECT MANAGEMENT TRAINING
    • DATA WAREHOUSING TRAINING
    • ORACLE TRAINING
    • DATABASE DEVELOPER TRAINING
    • OTHER TRAININGS
    • TRENDING TECHNOLOGIES
      Python Training Data Science Training Angular Training React JS Training ORACLE PRIMAVERA TRAINING Machine Learning Training Hadoop Training Amazon Web Services Training DevOps Training Azure Training PySpark Training MEAN Stack Training
    • RPA TRAINING
      Blue Prism Training UiPath Training Automation Anywhere
    • CLOUD COMPUTING
      Amazon Web Services Training AWS with Devops Training Azure Training AZ 104 Azure Administrator AZ 204 Azure Developer AZ 300 Azure Architect AZ 303 Azure Architect AZ 400 Azure Devops Google Cloud Platform Salesforce Training OpenNebula Training OpenStack Training OpenSpan Training
    • BIG DATA TRAINING
      Hadoop Training Big Data Analytics Training Spark Training
    • WEB DEVELOPMENT
      Angular Training Node JS Training React JS Training React Native Training Ionic Framework Training MEAN Stack Training PHP Training JavaScript Training CoffeeScript Training Less JS Training Graphics Design Training HTML Training CSS Training
    • MOBILE APPLICATION
      Android Training iOS Training iOS Swift Training Kotlin Training Flutter Dart Training
    • SOFTWARE TESTING
      Manual Testing Training UFT / QTP Training Selenium Training API Testing Training Selenium with Python Training Perfecto Mobile Testing Training ETL Testing Training JMeter Training LoadRunner Training Performance Engineering Big Data Testing Training Protractor Testing Training
    • MICROSOFT TECHNOLOGIES
      Dot Net Training MVC Framework ASP.NET MVC with Angular SharePoint Training Advanced Excel Training Excel Macro Training Azure Training Azure Infrastructure Solutions AZ 300 Azure Architect
    • JAVA TRAINING
      Core Java Training Java 8 Training Java J2EE Training Advanced Java Training Hibernate Training Spring Training Struts Training
    • PROJECT MANAGEMENT
      Oracle Primavera Training Primavera P6 Online Training Microsoft Project Training PMP Training ITIL Training Prince2 Training Scrum Master Training Business Analytics Training
    • DATA WAREHOUSING
      Tableau Training Power BI Training Qlikview Training Qlik Sense Training Informatica Training Microstrategy Training Teradata Training Cognos Training SAS Training
    • ORACLE TRAINING
      Oracle PL/SQL Training Oracle DBA Training Oracle Apps Technical Training Oracle Apps SCM Training Oracle Apps HRMS Training Oracle Apps Finance Training Oracle RAC Training PeopleSoft HCM Training PeopleSoft Finance Training
    • DATABASE DEVELOPER
      MongoDB Training Apache Cassandra Training Sybase Training Informix Training Performance Tuning Training
    • OTHER TRAININGS
      Ethical Hacking Training C C++ Training Unix Shell Scripting Training Tensorflow Training Data Modeling Training Workday Training PEGA Training Digital Marketing Training CCNA Training Arduino Training Elm Training Go Programming Training Rust Programming Training CYBER SECURITY TRAINING BIZTALK SERVER TRAINING Spoken English Course
  • Fresher Courses
    • ANGULAR TRAINING
    • REACT TRAINING
    • PYTHON TRAINING
    • JAVA TRAINING
    • SELENIUM TRAINING
  • Placements
    • Career Guidance
      • Interview Questions
      • Resume Building
      • Job Opportunities
    • OVERALL PLACEMENTS
  • About Us
    • Online Training
    • Corporate Training
    • Events
    • Reviews
      • Video Reviews
    • Become an instructor
  • Training
    • Trending Technologies Training
    • RPA TRAINING in Chennai
    • Cloud Computing Training
    • Big Data Hadoop Training in Chennai
    • Web Development Training
    • Mobile Application Training
    • Software Testing Training
    • Microsoft Technologies Training
    • Java Training
    • Project Management Training
    • Data Warehousing Training
    • Oracle Training
    • Database Developer Training
    • Other Training
  • Blogs
    • GENERAL
      • TOP SKILL TO GET A JOB IN MNC
      • INTERVIEW TIPS FOR FRESHERS AND EXPERIENCE
      • TOP TRENDING TECHNOLOGIES
    • DATA SCIENCE
      • MACHINE LEARNING VS DATA SCIENCE
      • DATA SCIENCE INTERVIEW QUESTION AND ANSWER
    • PYTHON
      • WHY LEARN PYTHON
      • JAVA VS PYTHON
      • WHAT IS PYTHON
    • PRIMAVERA
      • LIFECYCLE OF PRIMAVERA
      • EPPM VS PPM
      • PROJECT MANAGEMENT STEPS
    • PMP
      • PMP CERTIFICATION
    • AWS
      • TOP 5 AWS SERVICES
      • AWS VS OPENSTACK
      • AMAZON VS AZURE VS GOOGLE CLOUD
      • WHY DEVELOPERS SHOULD LEARN AWS
    • ANGULAR
      • ANGULAR INTERVIEW QUESTIONS
      • ANGULAR VS REACT VS VUE
    • REACT
      • TOP REASON TO LEARN REACT
    • BLUE PRISM
      • BLUE PRISM VS UI PATH
      • WHAT IS RPA
    • UI PATH
      • RPA CERTIFICATION
    • CLOUD COMPUTING
      • BEST CLOUD COMPUTING SERVICES
    • DEVOPS
      • DEVOPS OVERVIEW
    • NODE JS
      • NODE JS CERTIFICATION
    • HADOOP
      • HADOOP CERTIFICATION
    • AZURE
      • AZURE CERTIFICATION
    • SOFTWARE TESTING
      • HOW TO BECOME A SOFTWARE TESTER
      • MOVE FROM MANUAL TO AUTOMATION TESTING
      • HOW MUCH IS JAVA REQUIRED FOR SELENIUM TESTING
  • Contact Us
  • Courses
    • TRENDING TECHNOLOGIES TRAINING
    • RPA TRAINING
    • CLOUD COMPUTING TRAINING
    • BIG DATA TRAINING
    • WEB DEVELOPMENT TRAINING
    • MOBILE APPLICATION TRAINING
    • SOFTWARE TESTING TRAINING
    • MICROSOFT TECHNOLOGIES TRAINING
    • JAVA TRAINING
    • PROJECT MANAGEMENT TRAINING
    • DATA WAREHOUSING TRAINING
    • ORACLE TRAINING
    • DATABASE DEVELOPER TRAINING
    • OTHER TRAININGS
    • TRENDING TECHNOLOGIES
      Python Training Data Science Training Angular Training React JS Training ORACLE PRIMAVERA TRAINING Machine Learning Training Hadoop Training Amazon Web Services Training DevOps Training Azure Training PySpark Training MEAN Stack Training
    • RPA TRAINING
      Blue Prism Training UiPath Training Automation Anywhere
    • CLOUD COMPUTING
      Amazon Web Services Training AWS with Devops Training Azure Training AZ 104 Azure Administrator AZ 204 Azure Developer AZ 300 Azure Architect AZ 303 Azure Architect AZ 400 Azure Devops Google Cloud Platform Salesforce Training OpenNebula Training OpenStack Training OpenSpan Training
    • BIG DATA TRAINING
      Hadoop Training Big Data Analytics Training Spark Training
    • WEB DEVELOPMENT
      Angular Training Node JS Training React JS Training React Native Training Ionic Framework Training MEAN Stack Training PHP Training JavaScript Training CoffeeScript Training Less JS Training Graphics Design Training HTML Training CSS Training
    • MOBILE APPLICATION
      Android Training iOS Training iOS Swift Training Kotlin Training Flutter Dart Training
    • SOFTWARE TESTING
      Manual Testing Training UFT / QTP Training Selenium Training API Testing Training Selenium with Python Training Perfecto Mobile Testing Training ETL Testing Training JMeter Training LoadRunner Training Performance Engineering Big Data Testing Training Protractor Testing Training
    • MICROSOFT TECHNOLOGIES
      Dot Net Training MVC Framework ASP.NET MVC with Angular SharePoint Training Advanced Excel Training Excel Macro Training Azure Training Azure Infrastructure Solutions AZ 300 Azure Architect
    • JAVA TRAINING
      Core Java Training Java 8 Training Java J2EE Training Advanced Java Training Hibernate Training Spring Training Struts Training
    • PROJECT MANAGEMENT
      Oracle Primavera Training Primavera P6 Online Training Microsoft Project Training PMP Training ITIL Training Prince2 Training Scrum Master Training Business Analytics Training
    • DATA WAREHOUSING
      Tableau Training Power BI Training Qlikview Training Qlik Sense Training Informatica Training Microstrategy Training Teradata Training Cognos Training SAS Training
    • ORACLE TRAINING
      Oracle PL/SQL Training Oracle DBA Training Oracle Apps Technical Training Oracle Apps SCM Training Oracle Apps HRMS Training Oracle Apps Finance Training Oracle RAC Training PeopleSoft HCM Training PeopleSoft Finance Training
    • DATABASE DEVELOPER
      MongoDB Training Apache Cassandra Training Sybase Training Informix Training Performance Tuning Training
    • OTHER TRAININGS
      Ethical Hacking Training C C++ Training Unix Shell Scripting Training Tensorflow Training Data Modeling Training Workday Training PEGA Training Digital Marketing Training CCNA Training Arduino Training Elm Training Go Programming Training Rust Programming Training CYBER SECURITY TRAINING BIZTALK SERVER TRAINING Spoken English Course
  • Fresher Courses
    • ANGULAR TRAINING
    • REACT TRAINING
    • PYTHON TRAINING
    • JAVA TRAINING
    • SELENIUM TRAINING
  • Placements
    • Career Guidance
      • Interview Questions
      • Resume Building
      • Job Opportunities
    • OVERALL PLACEMENTS
  • About Us
    • Online Training
    • Corporate Training
    • Events
    • Reviews
      • Video Reviews
    • Become an instructor
  • Training
    • Trending Technologies Training
    • RPA TRAINING in Chennai
    • Cloud Computing Training
    • Big Data Hadoop Training in Chennai
    • Web Development Training
    • Mobile Application Training
    • Software Testing Training
    • Microsoft Technologies Training
    • Java Training
    • Project Management Training
    • Data Warehousing Training
    • Oracle Training
    • Database Developer Training
    • Other Training
  • Blogs
    • GENERAL
      • TOP SKILL TO GET A JOB IN MNC
      • INTERVIEW TIPS FOR FRESHERS AND EXPERIENCE
      • TOP TRENDING TECHNOLOGIES
    • DATA SCIENCE
      • MACHINE LEARNING VS DATA SCIENCE
      • DATA SCIENCE INTERVIEW QUESTION AND ANSWER
    • PYTHON
      • WHY LEARN PYTHON
      • JAVA VS PYTHON
      • WHAT IS PYTHON
    • PRIMAVERA
      • LIFECYCLE OF PRIMAVERA
      • EPPM VS PPM
      • PROJECT MANAGEMENT STEPS
    • PMP
      • PMP CERTIFICATION
    • AWS
      • TOP 5 AWS SERVICES
      • AWS VS OPENSTACK
      • AMAZON VS AZURE VS GOOGLE CLOUD
      • WHY DEVELOPERS SHOULD LEARN AWS
    • ANGULAR
      • ANGULAR INTERVIEW QUESTIONS
      • ANGULAR VS REACT VS VUE
    • REACT
      • TOP REASON TO LEARN REACT
    • BLUE PRISM
      • BLUE PRISM VS UI PATH
      • WHAT IS RPA
    • UI PATH
      • RPA CERTIFICATION
    • CLOUD COMPUTING
      • BEST CLOUD COMPUTING SERVICES
    • DEVOPS
      • DEVOPS OVERVIEW
    • NODE JS
      • NODE JS CERTIFICATION
    • HADOOP
      • HADOOP CERTIFICATION
    • AZURE
      • AZURE CERTIFICATION
    • SOFTWARE TESTING
      • HOW TO BECOME A SOFTWARE TESTER
      • MOVE FROM MANUAL TO AUTOMATION TESTING
      • HOW MUCH IS JAVA REQUIRED FOR SELENIUM TESTING
  • Contact Us

Walmart Data Scientist Interview Questions

  • Home
  • Walmart Data Scientist Interview Questions

Walmart – Data Scientist Interview Questions

Here is the list Data Science Interview Questions which are recently asked in Walmart company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.


1. Write the code to reverse a Linked list.

Iterative Method

Initialize three pointers prev as NULL, curr as head and next as NULL.

Iterate through the linked list. In loop, do following. Before changing next of current, store next node. next = curr->next. Now change next of current. This is where actual reversing happens. curr->next = prev

2. What assumptions does linear regression machine learning algorithm make?

The assumption of linear regression is that the dependent and independent variables should be linearly related. It is also necessary to check for outliers because linear regression is sensitive to outliers.

3. A stranger uses a search engine to find something and you do not know anything about the person. How will you design an algorithm to determine what the stranger is looking for just after he/she types few characters in the search box?

Any search engine's algorithm can be made using proper options for the person searching any content on a search engine using survey of the overall populations trend in search, and if any character matches among those topics, present in the database, all such topics shall be made available for referencing search because big data and data analytics are important facts through which a lot of accurate predictions can be made because big data and data analytics are important facts through which a lot of accurate predictions can be made.

4. How will you fix multi-colinearity in a regression model?

To eliminate the problem of multicollinearity is to identify the collinear independent variables and then remove all but one. It is also possible to eliminate multicollinearity by combining two or more collinear variables into a single variable.

5. What data structures are available in the Pandas package in Python programming language?

Pandas is a one-dimensional labeled array and capable of holding data of any type (integer, string, float, python objects, etc.)

data: array- Contains data stored in Series.

index: array-like or Index (1d)

dtype: str, numpy. dtype, or ExtensionDtype, optional.

name: str, optional.

copy: bool, default False.

6. State some use cases where Hadoop MapReduce works well and where it does not.

Use cases where Hadoop MapReduce is used,
  • Real Time Analytics
  • Multiple Smaller Datasets
Use cases where Hadoop MapReduce is used,
  • Data Size and Data Diversity

7. What is the difference between an iterator, generator and list comprehension in Python?

The generator yields one item at a time and generates item only when in demand whereas in a list comprehension, Python reserves memory for the whole list. Thus the generator expressions are memory efficient than the lists.

8. What is the Law of Large Numbers?

The law of large numbers is a theorem from probability and statistics that suggests that the average result from repeating an experiment multiple times will better approximate the true or expected underlying result. All sample observations for an experiment are drawn from an idealized population of observations.

9. What is A/B testing in Data Science?

A/B testing is a basic randomized control experiment and is a way to compare the two versions of a variable to find out which performs better in a controlled environment. It also enables to accurately quantify our effect size and errors, and so calculate the probability that we have made a type I or type II error

10. What are the differences between overfitting and underfitting?

Overfitting is a modeling error which occurs when a function is too closely fit to a limited set of data points. Under fitting refers to a model that can neither model the training data nor generalize to new data.

11. What is collaborative filtering?

Collaborative filtering is a type of recommendation engine that uses both user and item data. For eg: ratings from individual users on individual items. This way, items are recommended based on the ratings from other users, thus, collaborative.

12. Explain Star Schema?

A star schema is a database organizational structure optimized for use in a data warehouse or business intelligence that uses a single large fact table to store transactional or measured data and one or more smaller dimensional tables that store attributes about the data.

Free PDF : Get our updated Data Science Course Content pdf

13. What is the difference between a bagged model and a boosted model?

Bagging is a method of merging the same type of predictions and decreases variance, not bias, and solves over-fitting issues in a model. Boosting is a iterative technique of merging different types of predictions and decreases bias, not variance.

14. What do you understand by parametric and non-parametric methods? Explain with examples.

Parametric Methods uses a fixed number of parameters to build the model.Parametric analysis is to test group means. Non-Parametric Methods use the flexible number of parameters to build the model. Non-parametric analysis is to test medians.

15. Have you used sampling? What are the various types of sampling have you worked with?

Sampling is used to indicate how much data to collect and how often it should be collected. It defines the samples to take in order to quantify a system, process, issue, or problem. Types of sampling:
  • Simple Random Sampling.
  • Stratified Random Sampling.
  • Cluster Random Sampling.
  • Systematic Random Sampling

16. Explain about cross entropy ?

Cross-entropy is a measure of the difference between two probability distributions for a given random variable or set of events.

17. What are the assuptions you make for linear regression ?

There are four assumptions associated with a linear regression model: Linearity: The relationship between X and the mean of Y is linear. Homoscedasticity: The variance of residual is the same for any value of X. Independence: Observations are independent of each other.

18. Differentiate between gradient boosting and random forest.

The two main differences are:

How trees are built: random forests builds each tree independently while gradient boosting builds one tree at a time.

Combining results: random forests combine results at the end of theprocess while gradient boosting combines results along the way.

19. What is the signigicance of log odds?

Log odds play a central role in logistic regression. Every probability can be easily converted to log odds, by finding the odds ratio and taking the logarithm.

20. What is a Linear Regression?

Linear regression is one of the statistical methods of predictive analytics to predict the target variable. When we have one independent variable, we call it Simple Linear Regression. If the number of independent variables is more than one, we call it Multiple Linear Regression.

21. How do you define data science?

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

22. What are Eigenvalue and Eigenvector?

Eigenvectors are unit vectors which mean that their length or magnitude is equal to 1. They are often referred to as right vectors, which simply mean a column vector whereas, eigenvalues are coefficients applied to eigenvectors that give the vectors their length or magnitude.

23. What is a Random Forest?

Random forest is the prime example of ensemble machine learning method. It is one could intuitively guess, ensembles various decision trees to produce a more generalized model by reducing the notorious over-fitting tendency of decision trees.

24. What is power analysis?

Power Analysis is the process of estimating one of the 4 variables given values for the 3 variables. It can be used to estimate the minimum sample size required for an experiment, given a desired significance level, effect size, and statistical power.

25. Do gradient descent methods always converge to same point?

Not always.

In gradient descent, it depends on where you start (initialize). It is very easy to get stuck in local minima. So if the same point is started for each solution, it will converge to the same minima.

Book a Free Mock Interviews and Test your Data Science skills with our Experts

TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS

Here we listed all Data Science Interview Questions and Answers which are asked in Top MNCs. Periodically we update this page with recently asked Questions, please do visit our page often and be updated in Data Science.

TCS
Walmart
IBM
Larsen & Toubro
Mindtree
Microsoft
Amazon
Cognizant
Wipro
Capgemini
HP
Uber
Google
Accenture
Cisco Systems
Black Board

To become a Data Science Certified professional and join in your dream company, Enroll now for our Best Data Science Training. We help you to crack any levels of Data Science Interviews and We offering Data Science Training with Placement Assistance.

Related Tags

Java Training in Chennai | Azure Certification Training in Chennai | Dot Net Training in Chennai | Selenium Course in Chennai | DevOps Training in Chennai | Data Science Online Training | AWS Certification Training in Chennai | Angular Course in Chennai | React JS Training in Chennai | GCP Training in Chennai | Python Training in Chennai

other top mnc Data Science Interview Q&A

  • TCS
  • Amazon
  • Uber
  • Walmart
  • Cognizant
  • Google
  • IBM
  • Wipro
  • Accenture
  • Larsen & Toubro
  • Capgemini
  • Cisco Systems
  • Mindtree
  • HP
  • Black Board
  • Microsoft
  •   

INDIA LOCATIONS

New #30,Old #16A,
Rajalakshmi Nagar, Velachery,
Chennai - 600 042.
Mobile: +91 9884412301

Plot No.8, Vinayaga Avenue,
Rajiv Gandhi Salai, Okkiampettai(OMR),
Chennai – 600 097.
Mobile: +91 9600112302

Refund/Cancellation Policy

INTERNATIONAL LOCATIONS

USA
Houchin Drive, Franklin, TN -37064
Tennessee
Email: info@credosystemz.com
Web: www.credosystemz.com
Chat With Us

UAE
Sima Electronic Building,
LLH Opposite,
Electra Street – Abu Dhabi
Email: info@credosystemz.com
Web: www.credosystemz.com
Chat With Us

TRENDING COURSES

  • Python Training in Chennai
  • Data Science Training in Chennai
  • AWS Training in Chennai
  • Big Data Hadoop Training in Chennai
  • Machine Learning Training in Chennai
  • Selenium Training in Chennai
  • Angular Training in Chennai
  • Oracle Primavera P6 Online Training
  • Mean Stack Training in Chennai
  • DevOps Training in Chennai
  • Microsoft Azure Training in Chennai
  • GCP Training in Chennai

Copyright 2022 CREDO SYSTEMZ | All Rights Reserved.