### 6 Key Points you Should Focus on for your Next Data Science Interview

ArticleVideo Book Overview Preparing for your next data science interview? You need to ensure you’re covering your basics Here are 6 key points we’ve …

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As a student of B.Tech in Mathematics and Computing, I look at everything through a lens of numbers. A story-teller by nature and a problem-solver at the core, I am gaining practical experience in ML and DS as an intern at Analytics Vidhya.

ArticleVideo Book Overview Preparing for your next data science interview? You need to ensure you’re covering your basics Here are 6 key points we’ve …

ArticleVideo Book Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are …

ArticleVideo Book Overview Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science We will discuss 5 must-know applications of SVD …

ArticleVideo Book Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will …

ArticleVideo Book Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields …

ArticleVideo Book Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with …

- Is the Tableau Era Coming to an End?
- 40 Questions to test a Data Scientist on Clustering Techniques (Skill test Solution)
- Commonly used Machine Learning Algorithms (with Python and R Codes)
- Introductory guide on Linear Programming for (aspiring) data scientists
- 40 Questions to test a data scientist on Machine Learning [Solution: SkillPower – Machine Learning, DataFest 2017]
- 45 Questions to test a data scientist on basics of Deep Learning (along with solution)
- 30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]
- 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R

- January 22, 2021
- December 3, 2020
- November 26, 2020
- November 24, 2020