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Bhavishya Pandit

Bhavishya Pandit

Understanding and building fathomable approaches to problem statements is what I like the most. I love talking about conversations whose main plot is machine learning, computer vision, deep learning, data analysis and visualization. Apart from them, my interest also lies in listening to business podcasts, use cases and reading self help books.
Developers Corner

Hands-on Linear Regression Using Sklearn

In today’s article, we will be taking a look at how to predict the rating of cereals. The problem statement is to predict the cereal ratings where the columns give the exact figures of the ingredients. Link to the data set is mentioned below.

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