### 25 Questions to test a Data Scientist on Support Vector Machines

ArticleVideo Book Introduction You can think of machine learning algorithms as an armory packed with axes, sword and blades. You have various tools, but …

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Ankit is currently working as a data scientist at UBS who has solved complex data mining problems in many domains. He is eager to learn more about data science and machine learning algorithms.

ArticleVideo Book Introduction You can think of machine learning algorithms as an armory packed with axes, sword and blades. You have various tools, but …

ArticleVideo Book Introduction Decision Trees are one of the most respected algorithm in machine learning and data science. They are transparent, easy to understand, …

ArticleVideo Book Introduction Logistic Regression is likely the most commonly used algorithm for solving all classification problems. It is also one of the first …

ArticleVideo Book Introduction Linear Regression is still the most prominently used statistical technique in data science industry and in academia to explain relationships between …

ArticleVideo Book Introduction SQL is a universal tool in data science. Irrespective of which language you use as your main tool – you need …

ArticleVideo Book Introduction Machine Learning is one of the most sought after skills these days. If you are a data scientist, then you need …

ArticleVideo Book Introduction Have you come across a dataset with hundreds of columns and wondered how to build a predictive model on it? Or …

ArticleVideo Book Introduction If you have been part of the data science (or any data!) industry, you would know the challenge of working with different …

ArticleVideo Book Introduction Ensemble modeling is a powerful way to improve the performance of your machine learning models. If you wish to be on …

ArticleVideo Book Introduction If you ask any industry expert what language should you learn for big data, they would definitely suggest you to start …

- 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]
- 40 Questions to test a Data Scientist on Clustering Techniques (Skill test Solution)
- 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R
- 45 Questions to test a data scientist on basics of Deep Learning (along with solution)
- Customer Sentiments Analysis of Pepsi and Coca-Cola using Twitter Data in R
- Key Python Packages for Data Science

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