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Python is a simple, energetic, and object-oriented programming language, broadly used for web application development. 90% of populace prefers Python over other scientific approaches because of its effortlessness, trustworthiness and easy interfacing nature.

Data analytics is a course of studying data sets using specialized systems and software to conclude the information they contain. Data analytics 

What is SAS? SAS (Statistical Analysis System) is a statistical software suite developed by SAS Institute for data management, advanced analytics, business intelligence, and predictive analytics.

In this digital world, a huge amount of data is generated every day in every field. Collecting and maintaining the Big Data is ineffectual until they are researched or analyzed properly to reveal patterns for helping businesses make wise decisions related to their growth

What is a Data Scientist? Who are data scientist, what they are doing and how you want to become

Before we get into What Data Scientists do, what are the fields that Data Scientist work in, we need to know what Data Science is.

We know that we are completely technology driven, but how can we make our work easier and more interesting? The digital marketing world, we know for a long time how effective digital marketing can be

What is analytics? What is a data scientist? “We have heaps of data – now what to do?”

What is Machine Learning? “The field of study that gives computers the ability to learn without being

First let’s know what is Data science Data Science is one of the most evolving and promising careers for all the aspirants dreaming to work in all the renowned companies. Today

Training Data Set can be written as following: There are total many features and many training examples...

Suppose there are k many features or predictor variables x1, x2, x3, … , xk and a target variable y. Now we want to express y as a linear combination of those predictor variables. We have a vector of features/predictors

Regression is a procedure to determine the statistical connection between a dependent variable and one or more independent variables. The variation independent variable is related with the change in the independent variables. This can be broadly classified into two main types.1.Linear Regression, 2.Logistic Regression

KNN is a model that classifies data points based on the points that are most similar to it. It uses test data to make an “educated guess” on what an unclassified point should be classified as.

Pandas stand for Panel Data Library and it works very well for tabular data formats which are of very frequent occurrence in machine learning.

Probability is a mathematical description of randomness and uncertainty. It is a way to measure or quantify uncertainty....

Exploratory Data Analysis (EDA) is used to summarize the data we have gathered in a meaningful way.

Today there are many ways to advertise small business, although for this it is essential

In this writing we will explain what a neural network is, how it works and the concept behind it.

To do the work that Data Analysts, Data Scientists and Data Engineers do, require data. Thus, Database management is the foundation stone of all work in this arena

Improving people’s lives based on data is one of our main goals at SAS....

Whether you’re an entrepreneur, a designer, a writer, or a leader of an organization....

SAS (Statistical analysis system) is one of the most widespread tools for analytics and statistical algorithm.....

Business Analytics, consists of carrying out a series of business solutions to meet the needs....