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Title: GitHub - thangarajan8/PythonMachineLearning: Practice and tutorial-style notebooks covering wide variety of machine learning techniques · GitHub

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Description: Practice and tutorial-style notebooks covering wide variety of machine learning techniques - thangarajan8/PythonMachineLearning

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Multi-variate LASSO regression with CV.ipynb	https://github.com/thangarajan8/PythonMachineLearning/blob/master/Multi-variate%20LASSO%20regression%20with%20CV.ipynb
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Regularized polynomial regression with linear and random sampling.ipynb	https://github.com/thangarajan8/PythonMachineLearning/blob/master/Regularized%20polynomial%20regression%20with%20linear%20and%20random%20sampling.ipynb
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README	https://github.com/thangarajan8/PythonMachineLearning
BSD-2-Clause license	https://github.com/thangarajan8/PythonMachineLearning
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	https://github.com/thangarajan8/PythonMachineLearning#essential-tutorial-type-notebooks-on-pandas-and-numpy
	https://github.com/thangarajan8/PythonMachineLearning#tutorial-type-notebooks-covering-regression-classification-clustering-and-some-basic-neural-network-algorithms
check the article I wrote on freeCodeCamp	https://medium.freecodecamp.org/data-science-with-python-8-ways-to-do-linear-regression-and-measure-their-speed-b5577d75f8b
check the article I wrote on Towards Data Science	https://towardsdatascience.com/machine-learning-with-python-easy-and-robust-method-to-fit-nonlinear-data-19e8a1ddbd49
	https://github.com/thangarajan8/PythonMachineLearning#function-approximation-by-linear-model-and-deep-learning-method
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add me on LinkedIn here	https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/
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