GitHub - jsacevedoro/ml_maths_work1: First homework of the course Mathematics for Machine Learning, which belongs to Master's Dregree in Applied Maths from the National University of Colombia. It is about least square problem applied to linear and non-linear models in the study of bitcoin time series and its relation with commodity prices, also it's presented an interesting application in point set registration problem.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.ipynb_checkpoints		.ipynb_checkpoints
2. Bitcoin nonlinear model		2. Bitcoin nonlinear model
3. Bitcoin analysis from commodities		3. Bitcoin analysis from commodities
1. Conditions to solve Least Squares.ipynb		1. Conditions to solve Least Squares.ipynb
4. Point Set Registration.ipynb		4. Point Set Registration.ipynb

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First homework of the course Mathematics for Machine Learning, which belongs to Master's Dregree in Applied Maths from the National University of Colombia. It is about least square problem applied to linear and non-linear models in the study of bitcoin time series and its relation with commodity prices, also it's presented an interesting applica…

time-series bitcoin linear-regression julia-language least-squares normal-equation multiple-linear-regression point-set-registration