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

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

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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.

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

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

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

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

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

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

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

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

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

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

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