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

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	https://github.com/Felicitymecha/PythonMachineLearning#python-machine-learning-notebooks
	https://github.com/Felicitymecha/PythonMachineLearning#essential-tutorial-type-notebooks-on-pandas-and-numpy
	https://github.com/Felicitymecha/PythonMachineLearning#tutorial-type-notebooks-covering-regression-classification-clustering-dimensionality-reduction-and-some-basic-neural-network-algorithms
	https://github.com/Felicitymecha/PythonMachineLearning#regression
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/Felicitymecha/PythonMachineLearning#classification
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http://localhost:9000	http://localhost:9000
add me on LinkedIn here	https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/
Readme	https://github.com/Felicitymecha/PythonMachineLearning#readme-ov-file
BSD-2-Clause license	https://github.com/Felicitymecha/PythonMachineLearning#BSD-2-Clause-1-ov-file
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