#math

Learned about Variance and Covariance and how they related to spread in a dataset

Learned about Variance and Covariance and how they related to spread in a dataset

Learned about Vectors and Linear Transformations

Learning about Mathplotlib for data visualization

Learned a whole bunch of things(most things I've done before), learn about solving systems of linear equations, rank of a matrix, echelon form, diagonal matrix and Gaussian elimination method

Build something for the Zama builder bounty

Learned about python basics such as variables, lists and loops

PyTorch is the dominant framework in research and modern ML — TensorFlow has lost the research community