000			01859nam a2200253Ia 4500
001			42765
003			IN-BdCUP
005			20230421155241.0
008			230413s2023 000 0 eng
020			_a9781119545637
040			_beng _cIN-BdCUP
041			_aeng
082			_a005.133 _bLEE
100			_aLee, Wei-Meng
245		0	_aPython Machine Learning / _cLee, Wei-Meng
260			_aIndianapolis : _bWiley, _c2019.
300			_axxiv, 296p. ; _c23 cm.
520			_aPython makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart-it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. � Python data science-manipulating data and data visualization � Data cleansing � Understanding Machine learning algorithms � Supervised learning algorithms � Unsupervised learning algorithms � Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.
650			_aComputers
650			_aMachine learning
650			_aPython (Computer program language)
700			_aWei-Meng Lee
942			_2ddc _cBK
999			_c31688 _d31688