Awesome Guides

Deep Learning Computer Vision Awesome Guides Implementing Object Detection and Instance Segmentation for Data Scientists

Object Detection is a helpful tool to have in your coding repository.

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Deep Learning Computer Vision Awesome Guides Demystifying Object Detection and Instance Segmentation for Data Scientists

I like deep learning a lot but Object Detection is something that doesn’t come easily to me.

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Data Science Awesome Guides The Simple Math behind 3 Decision Tree Splitting criterions

Decision Trees are great and are useful for a variety of tasks.

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Data Science Awesome Guides P-value Explained Simply for Data Scientists

Recently, I got asked about how to explain p-values in simple terms to a layperson.

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Awesome Guides Data Science The 5 Classification Evaluation metrics every Data Scientist must know

What do we want to optimize for? Most of the businesses fail to answer this simple question.

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Data Science Awesome Guides Data Scientists, The 5 Graph Algorithms that you should know

We as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database.

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Data Science Awesome Guides The Ultimate Guide to using the Python regex module

One of the main tasks while working with text data is to create a lot of text-based features.

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Data Science Awesome Guides How did I learn Data Science?

I am a Mechanical engineer by education. And I started my career with a core job in the steel industry.

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Data Science Awesome Guides The 5 Feature Selection Algorithms every Data Scientist should know

Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series .

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Data Science Awesome Guides The 5 Sampling Algorithms every Data Scientist need to know

Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series.

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