These are my go-to libraries for Python data crunching.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

"I want to move soon. I want to keep the rent down, but I don't want to be too far from the station. When I look at properties online, I understand that rent goes down the further you are from the ...

This is my first story in medium, in this story I am going to explain “How to Implement simple linear regression using python without any library?”. You will find the notebook which I have created ...

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It is built to work with Pandas dataframes, uses SciPy, statsmodels and pingouin under the hood, and runs diagnostic tests for testing assumptions while plotting figures with matplotlib and seaborn.

Matplotlib is a versatile 2D plotting library that provides an array of visualization options. Whether it's line plots, scatter plots, bar plots, or even 3D plots, Matplotlib has you covered. Its ...

If you want to learn the math behind data science and machine learning, 3Blue1Brown is the channel for you. Created by Grant Sanderson, 3Blue1Brown uses animation to explain complex mathematical ...