000			01761nam a22002057a 4500
005			20240210174648.0
008			240210b |||||||| |||| 00| 0 eng d
020			_a9789389328974
082			_a006.35 _bLAK
100			_aLakshmi, Gnana T C _914225
245			_aHands-on supervised learning with Python: _blearn how to solve machine learning problems with supervised learning algorithms using Python
260			_bBPB Publications _aNew Delhi _c2023
300			_axxv, 357 p.
365			_aINR _b799.00
520			_aYou will learn about the fundamentals of Machine Learning and Python programming post, which you will be introduced to predictive modelling and the different methodologies in predictive modelling. You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them. We will focus on learning supervised machine learning algorithms covering Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees and Artificial Neural Networks. For each of these algorithms, you will work hands-on with open-source datasets and use python programming to program the machine learning algorithms. You will learn about cleaning the data and optimizing the features to get the best results out of your machine learning model. You will learn about the various parameters that determine the accuracy of your model and how you can tune your model based on the reflection of these parameters. (https://in.bpbonline.com/products/hands-on-supervised-learning-with-python?_pos=1&_sid=1c331bfd1&_ss=r&variant=38071493066939)
650			_aMachine learning _915068
650			_aPython (Computer programming language) _915642
700			_aShang, Madeleine _915643
942			_cBK _2ddc
999			_c5965 _d5965