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Category: Data Science

link to How to Learn Data Science: A Roadmap for Beginners

How to Learn Data Science: A Roadmap for Beginners

Data science is a pretty trending field nowadays, and the data scientist profession is the sexiest job of the modern era. But how do you learn data science? In this article, I'll share a roadmap for...

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link to Introduction to Seaborn Library in Python

Introduction to Seaborn Library in Python

Data visualization is a very important field in modern computer science and several libraries and modules of Python can simplify the tasks. One such data visualization library is seaborn.  In...

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link to Covid-19 Data Analysis Using Python

Covid-19 Data Analysis Using Python

In this article, we will be doing the data analysis of Covid-19 cases in India. I'm making this article just to show you how you can use Python Programming in real-world situations.  So,...

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link to Data Visualization in Python Using Matplotlib

Data Visualization in Python Using Matplotlib

The graphical representation of information and data is called Data visualization. Data Visualization is a critical part of business activities since various companies nowadays are collecting a huge...

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link to Will Artificial Intelligence Replace Programmers?

Will Artificial Intelligence Replace Programmers?

Thanks to artificial intelligence (AI), software will write itself in the future. At least, that's how Google -CEO Sundar Pichai sees the future of software development. And he's right! This does not...

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link to Cifar-10 Image Classification Using Keras

Cifar-10 Image Classification Using Keras

Finally, I got some time to create a complete project tutorial on cifar-10 image classification. This was a project that I have done in my college. I will try to teach you how to do this project so...

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About Me

Hi, I’m Ashwin Joy. I’m a Computer Science and Engineering graduate who is passionate about programming and technology. Pythonista Planet is the place where I nerd out about computer programming. On this blog, I share all the things I learn about programming as I go.

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