Explore projects
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Python course for programmers with a focus on features needed for machine learning
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containalytics / containalytics
GNU Affero General Public License v3.0"Cloud container data analytics, statistical modeling, and machine learning on distributed databases". "A free opensource alternative to SPSS, SAS, MATLAB, PowerBI, Tableau and Alteryx". Runs on Linux, Windows, MacOS, and in the cloud via containers.
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This is where the lessons and challenges for the python crash course will be posted.
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clausqr / opencv-vivo
GNU General Public License v3.0 or laterUpdated -
Implementation of fractal image compression
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Program monitors selected region of the screen and detects blue quadrangles.
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Script for scoring points and breaking records in basketball.frvr.com
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2021 interview test for optimization of Python code
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Common statistics and functions to work with financial time series.
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Machine Learning Basics - implementation of: loss functions (cross entropy loss, L1 loss, L2 loss, hinge loss), regularizations (L1 regularizer, L2 regularizer, early stopping), gradient check, optimizers, training a simple deep model.
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Vector Matrix Operations. Implemented in Python using NumPy library.
My lab assignment in Interactive Computer Graphics, FER, Zagreb.
Created: 2020
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