“A lot of it comes down to the fact that it's (Python) an incredibly versatile language. It's escaped the track of being just front end or back end." ~ Stephen O'Grady, industry analyst with RedMonk, at the GitHub Universe conference.
Python has been adjudged the programming language of 2018 by TIOBE and with good reason. With
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Python - A language that by self-confession was not created for mass consumption is creating ripples all across the spectrum of programming languages, is being touted to be the future programming language.
How you ask?
Python grabbed the #1 spot as IEEE Spectrum 2017 #1 programming language toppling C, Java, and C++. TIOBE ranked Python as programming
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Right2Vote & students of Ivy Professional School recently teamed up for a Live Industry Project.
Right2Vote is a pioneer in mobile based online voting technology in the country. It has gained substantial popularity among Government departments, Associations, corporates, clubs, colleges, social groups due to its ease of creating and managing elections online. It already has an
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While data is the new oil, mining and processing the oil, is like analytics. Analytics has evolved from being a mere buzzword to an essential business tool.
From retail to banking, healthcare to the food industry and even police departments.. firms have realised the advantage of embracing analytics and that is a known fact. But how
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Data is omnipresent and AI is permeating into our everyday lives. There are numerous new technologies expanding into new horizons that are only beginning to be understood and appreciated. Now, as we are ready to enter 2019, let’s take a look at 5 major trends that have already set their steady foot and it’s just
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We discussed in our previous article 'Beginners guide to SVM' the concept and the basics that one needs to know to learn Support Vector Machines.
Now lets talk about how to implement it in R. Explaining it by a simple hands-on example as below-
The data set we have used here is called iris. It is already present
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Support Vector Machine (SVM) is a supervised Machine Learning algorithm that performs classification tasks by constructing hyperplanes or classifiers in a multidimensional space that separates the data into two different classes. SVM supports both regression and classification tasks and can handle multiple continuous and categorical variables.
In the diagram below you can see that there are
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Marketing Executive at a large Jewellery Company with an International presence till 2017. Now – SAS Developer, Assistant manager at Genpact.
Yes, we are talking of the same person here. This is a story of an immensely dedicated student - Aakash Sacheti from Ivy Pro School, Delhi.
There are some career transition stories that inspire, some that
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Coming from the hills of Silchar, this music-lover completed his B.Tech from NIT, Silchar in Mechanical Engineering. Meet Abhra Deb from Silchar, Assam.
Initially, he got placed at one of the SMEs and started working as a mechanical engineer. Abhra gained knowledge of programming languages but wasn’t being able to use it in his Job. He
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Presenting Arpita Acharya who has shaped up her career in Analytics after a good two years of maternity leave.
An automation engineer from the City of Joy, Kolkata, Arpita completed her B.Tech in EEE in the year 2013. She started working as an automation engineer in a company during which she had to take her maternity
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Updated on April, 2024“Estimate the number of cars in Delhi.” That’s a common guesstimate question asked in data analytics and management interviews.The same question can be asked with slight variations, such as “Estimate the number of cars in your city.” Solving both requires the same logic. In this post, we will discuss how to approach this
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Mrinal Dhar is an adventure-seeker, who wanted to enhance his technical background with the knowledge that can secure his future.
We spoke to him regarding his journey into Analytics after 7 years as a software developer. Let's look at what he had to say -
“Analytics is a rapidly emerging field. I did not want to do
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Solving guesstimates can be tricky. Not only do you have to rely on unknown data and assumptions, but you also have to come up with an answer in a pressurizing situation such as an interview. Guesstimate questions are common in interviews, especially if you are appearing for data analytics, consulting, or management roles. And you need
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Called the"Oxford of the East" by some, Poona or Pune doesn't surprise when you look at the % of students swarming the city. Also regarded as a centre of IT Excellence and a city with a huge potential for growth, Pune boasts of some of the best minds and hence companies in Data Analytics.
Few Companies who are recruiting for
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Model building is a fundamental part of analytics and data science. To make accurate predictions and generate valuable insights, it's crucial to follow a structured approach. At Ivy Professional School, a top-ranked Analytics Institute in India, we train aspiring data scientists on the intricacies of model building through our Data Science courses. Here, we outline
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As the field of data science and analytics continues to evolve, terms like Machine Learning (ML) and Artificial Intelligence (AI) are often used interchangeably. However, there are key differences between these two technologies, each with its own purpose and methodology. At Ivy Professional School, a leading institute for Machine Learning courses in India, we break
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