Flower classification made using least squares regression implemented from scratch. The least squares regression matrix theory was applied, with the linear system solved using matrix decomposition methods such as PLU and SVD.
- pandas
- numpy
-
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Linear algebra applied in the implementation from scratch of the classic flower classification machine learning problem. Decomposition techniques were used to solve the linear system through least squares regression.
Andre-FP/LinAlg-Flower-Classificationn
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Linear algebra applied in the implementation from scratch of the classic flower classification machine learning problem. Decomposition techniques were used to solve the linear system through least squares regression.
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