Practice & Projects¶
Guides teach the theory. This section is where you write code.
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Practice Notebooks
66 notebooks — paired exercises and worked solutions for every topic, runnable in Colab with no setup.
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Guided Demos
26 short walkthroughs, each demonstrating a single technique end to end before you commit to a full project.
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Course Projects & Capstones
13 end-to-end projects, from data preparation through evaluation and written conclusions.
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Projects, Version 2
15 of the same problems rebuilt with different architectures, to show the model choice as a design decision.
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Interview Q&A
33 topic question banks with model answers, plus the staff-level interview chapter.
Running the code¶
Every notebook opens in Google Colab, which needs no local installation and offers a free GPU under Runtime → Change runtime type. Prefer to work locally:
git clone https://github.com/sameerkarur/Data_science.git
cd Data_science
pip install -r requirements.txt
jupyter notebook
A few notebooks read large datasets tracked with Git LFS. Fetch those with
git lfs install && git lfs pull.