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Posts In Category "Data Science"

A-Z of Inferential Statistics

One of the essential skills that a Data Scientist needs is that of statistics, both descriptive and inferential statistics. Through the power of mathematical statistics, it is possible to predict possible outcomes and judge current market trends. Take descriptive and inferential statistics, for example. While descriptive statistics help in describing data, inferential statistics help in […]

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All You Need to Know About Collaborative Filtering

Before we get into core concepts like collaborative filtering recommender systems and collaborative filtering algorithms, let’s understand recommender systems. A recommender system aims to predict a user’s preference, in order to ‘recommend’ an item, that could be a product like clothes, or could be movies, services, etc., recommender systems have become very important today because […]

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Complete Guide to Naive Bayes Classifier

A classifier, in machine learning, is a model or algorithm used to differentiate between objects based on specific features. Naive Bayes Classifiers come under this family of classifiers (probabilistic classifiers to be exact). The naive Bayes classifier is based on the application of Bayes’ theorem with strong (hence the word naive) independence assumptions between the […]

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Ultimate Principal Component Analysis Tutorial

Principal Component Analysis, or PCA, is a statistical procedure that essentially involves coordinate transformation. It involves the orthogonal transformation of possibly correlated variables into a set of linearly uncorrelated variables called principal components. If the original data is plotted on an X and Y axis, the principal component analysis will modify these axes so that […]

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The Ultimate Guide to Learning Sentiment Analysis

Sentiment analysis, also known as ‘opinion mining’, is basically the process of identifying the emotions or emotional tone behind a series of words by using Artificial Intelligence. Sentiment analysis helps analysts understand the current emotion, opinion or attitude of the general population behind a certain topic or set of words mentioned online. Understanding the current […]

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The Ultimate Guide To Bayesian Network

In this guide, we shall explain the Bayesian Network. Bayesian networks are all about probability and statistics. When you talk of probability, this funny definition of probability comes to mind. “The probability of meeting someone you know becomes higher when you are with someone you are not supposed to be seen with.” A Bayesian network […]

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Definitive Guide to Using Sparse Matrix

A matrix, as you learned in mathematics and in C programming, is a 2-dimensional array. A 2-dimensional array in programming is often represented by ‘m’ rows and ‘n’ columns, written as m x n matrix. A data element held in each slot of a matrix is called matrices. In programming (in mathematics, and in general), […]

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Ultimate Guide to Learn SQL Basics

Are you an aspiring data scientist looking forward to learning SQL basics? Great! Let’s get started. SQL or Structured Query Language is a standardized form of programming language which has been designed specifically for retrieving, storing, manipulating and managing data within an RDBMS or Relational Database Management System. This gives SQL was developed originally in […]

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Comprehensive NoSQL Tutorial for Beginners

A wide range of various database technologies is encompassed by NoSQL. These technologies were developed due to the ever-changing demands that were put forth while building innovative modern applications. This is the reason many data science students focus on a proper NoSQL tutorial to get a complete understanding of the topic. Developers are constantly working […]

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How to Learn Data Science in Three Months?

Are you an aspiring Data Scientist & want to learn Data Science? We have some really good news for you. We present this data science tutorial that will help you to learn Data Science in just 3 months. Data science uses scientific methods, algorithms, and processes to derive insights from both structured and unstructured data. […]

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