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Co-authored-by: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com>
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src/data/roadmaps/machine-learning/content/linear-algebra@83UDoO1vC0LjL-qpI0Jh-.md
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Visit the following resources to learn more:
- [@book@Linear algebra for data science](http://mitran-lab.amath.unc.edu/courses/MATH347DS/textbook.pdf)
- [@article@How I learned Linear Algebra, Probability and Statistics for Data Science](https://towardsdatascience.com/how-i-learned-linear-algebra-probability-and-statistics-for-data-science-b9d1c34dfa56/)
- [@video@Linear Algebra for Machine Learning](https://www.youtube.com/watch?v=QCPJ0VdpM00)
- [@video@Linear Algebra for Machine Learning](https://www.youtube.com/watch?v=QCPJ0VdpM00)
- [@book@Linear algebra for data science](http://mitran-lab.amath.unc.edu/courses/MATH347DS/textbook.pdf)
- [@book@Linear Algebra Done Right](https://linear.axler.net/LADR4e.pdf)
src/data/roadmaps/machine-learning/content/numpy@nKE9sO-f2fdMiuLu2xby1.md
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- [@official@NumPy](https://numpy.org/)
- [@opensource@NumPy](https://github.com/numpy/numpy)
- [@article@Python NumPy Array Tutorial](https://www.datacamp.com/tutorial/python-numpy-tutorial)
- [@video@Learn NumPy in 1 hour!](https://www.youtube.com/watch?v=VXU4LSAQDSc)
- [@video@Learn NumPy in 1 hour!](https://www.youtube.com/watch?v=VXU4LSAQDSc)
src/data/roadmaps/machine-learning/content/object-oriented-programming@nN9BumBHi-c9HKFlgL2GH.md
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- [@article@Object Oriented Programming in Python](https://realpython.com/python3-object-oriented-programming/)
- [@video@Object Oriented Programming with Python - Full Course for Beginners](https://www.youtube.com/watch?v=Ej_02ICOIgs)
- [@video@Object Oriented Programming (OOP) In Python - Beginner Crash Course](https://www.youtube.com/watch?v=-pEs-Bss8Wc/)
- [@video@Python OOP Tutorial](https://www.youtube.com/watch?v=IbMDCwVm63M)
- [@video@Python OOP Tutorial](https://www.youtube.com/watch?v=IbMDCwVm63M)
src/data/roadmaps/machine-learning/content/pandas@PnOoShqB3z4LuUvp0Gh2e.md
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# undefined
Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Visit the following resources to learn more:
- [@official@pandas - Python Data Analysis Library](https://pandas.pydata.org/)
- [@video@Complete Python Pandas Data Science Tutorial! (2025 Updated Edition)](https://www.youtube.com/watch?v=2uvysYbKdjM)
- [@video@Complete Python Pandas Data Science Tutorial! (2025 Updated Edition)](https://www.youtube.com/watch?v=2uvysYbKdjM)