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

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README	https://github.com/zqqqq/PythonMachineLearning
BSD-2-Clause license	https://github.com/zqqqq/PythonMachineLearning
	https://github.com/zqqqq/PythonMachineLearning#python-machine-learning-notebooks
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"Some Essential Hacks and Tricks for Machine Learning with Python"	https://heartbeat.fritz.ai/some-essential-hacks-and-tricks-for-machine-learning-with-python-5478bc6593f2
	https://github.com/zqqqq/PythonMachineLearning#some-essential-hacks-and-tricks-for-machine-learning-with-python
	https://github.com/zqqqq/PythonMachineLearning#essential-tutorial-type-notebooks-on-pandas-and-numpy
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	https://github.com/zqqqq/PythonMachineLearning#tutorial-type-notebooks-covering-regression-classification-clustering-dimensionality-reduction-and-some-basic-neural-network-algorithms
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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/zqqqq/PythonMachineLearning#classification
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check the article I wrote in Towards Data Science on SVM and sorting algorithm	https://towardsdatascience.com/how-the-good-old-sorting-algorithm-helps-a-great-machine-learning-technique-9e744020254b
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Sympy package	https://www.sympy.org/en/index.html
Random regression and classification problem generation with symbolic expression	https://towardsdatascience.com/random-regression-and-classification-problem-generation-with-symbolic-expression-a4e190e37b8d
add me on LinkedIn here	https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/
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