/vectors_arrays_matrices

Primary LanguageJupyter Notebook

Vectors_Arrays_Matrices ✨

Programming is a great way to get insights about math concepts. You’ll see here tips and tricks to learn math, more specifically linear algebra, from a coding perspective. You’ll see the relationship between Numpy functions and linear algebra abstract concepts.

At the end of this mini-tutorial, you’ll know what are arrays ,vectors & matrices, and why they are the core of machine learning and data science.. so lets gets started

What you will learn

✅Array are Homogeneous Data Structure
✅Multiple equal length vector stacked as table
✅Wide range of collection operations
✅Data tranformation and its properties.
✅Lots of hands stuff and more...

Libraries required

Use the package manager pip to install below

pip install numpy

Array:

  • Arrays are the most important family of higher-order collections in machine learning. They are used to represent images, text documents and many other types of data.
No Topics Code Link 🔗
1 Elements in Array Code
2 Properties of Array Code
3 Reshape an Array Code
4 Array Operations Code

Vectors

  • A vector is a tuple of one or more values called scalars. Vectors are built from components, which are ordinary numbers. You can think of a vector as a list of numbers, and vector algebra as operations performed on the numbers in the list.
No Topics Code Link 🔗
1 Create Vector Code
2 Diagonal Sum Code
3 Dot Vector Product Code
4 Vector & Matrix Transpose Code
5 Vector Operations Code
6 Average Variance Standard Deviation Code

Matrices

  • Matrices are rectangular arrays consisting of numbers and can be seen as 2nd-order tensors. If m and n are positive integers, that is m, n ∈ ℕ then the m×n matrix contains mn numbers of elements, with m number of rows and n number of columns.*
No Topics Code Link 🔗
1 Sum Matrices Code
2 Diagonal of Matrix Code
3 Dictionary to Matrix Code
4 Opertions on Elements Code
5 Flatten a Matrix Code
6 Invert a Matrix Code
7 Matrix Determinant Code
8 Min Max of Matrix Code
9 Matrix Rank Code
10 Sparse of Matrix Code

Illustration

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@misc{Charged Neuron,
    author       = {Roja Achary},
    title        = {Vectors, Arrays, Matrices},
    Credits      = {websites,CA,me}
    month        = {November},
    year         = {2021}
}