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Category: Data Science

link to 3 Important Types of Machine Learning

3 Important Types of Machine Learning

When it comes to Machine Learning, there are various types of learning, and we can classify it generally into three categories, viz., Supervised Learning, Unsupervised Learning, and Reinforcement...

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link to Python Vs R: Which Is Best for Data Science?

Python Vs R: Which Is Best for Data Science?

Python and R are the two most popular and widely used programming languages in the data science field. But which language among these two should you choose? Well, let's compare both these programming...

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link to Pros and Cons of Unsupervised Learning

Pros and Cons of Unsupervised Learning

Machine learning is primarily of three types. It includes “Supervised learning”, “Unsupervised learning” and “Reinforcement learning”. This post is specifically limited to the depth of...

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link to How to Become a Freelance Data Scientist

How to Become a Freelance Data Scientist

The word "data scientist" is a modern category of analytical experts that has been recently caught the attention of many aspirants. A data scientist knows very well how to convert data into full...

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link to Applications & Use Cases of Supervised Learning

Applications & Use Cases of Supervised Learning

Supervised learning is a concept towards artificial intelligence (AI) development, where labeled data input and the anticipated output results are provided to the program. In this article, let's look...

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link to Real-world Applications of Deep Learning

Real-world Applications of Deep Learning

Gone are those days when we had to keep an eye on the machines after giving them a task to perform. Now, machines have become smart, smarter than us when it comes to a lot of tasks. In this article,...

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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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