000			01148nam a22001817a 4500
020			_a9789389845426
082			_a006.31 _bBHA.M
100			_aBhasin, Harsh
245			_aMachine learning for Beginners: _bLearn to build learning systems using Python
250			_a1 Ed.
260			_aNew Delhi: _bBPB Publication: _c2020.
300			_ai-xvii+244p.
500			_aThis books covers important concepts and topics in ML. This book coveres algorithms and implementations of the most common features selection techniques. It begins with Data cleansing and presents an overview of feature selection.
505			_aAn Introduction to ML Preprocessing and feature selection Regression Classification Neural Network I-The perception Neural Network II-The Multi layer perception Support vector machine Decision trees Clustering Feature extraction
520			_aTowards the end, the book gives a brief overview of unsupervised learning. Various feature extraction techniques, such as fourier transform, STFT, and local Binary patterns are covered.
650			_aClassification algorithms- Machine Learning- Mathematical Modelling
942			_cBK
999			_c611504 _d611504