Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python /
Bhasin, Harsh,
Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python / Harsh Bhasin. - first edition. - 244 pages : illustrations ; 23 cm.
Includes feature selection techniques, classification algorithms, neural networks, PCA and appendix cheat sheets.
Introduction to ML; Pre‑processing & Feature Selection; Regression; Classification (K‑NN, Logistic Regression, Naïve Bayes, LDA); Neural Networks I & II; SVM and Kernel Methods; Decision Trees; Clustering; Feature Extraction; Appendix (Cheat Sheets, Face Detection).
A hands-on guide to essential machine learning workflows using Python. Covers preprocessing, feature extraction, key classification algorithms, neural networks, SVMs, and clustering with practical examples. Aimed at undergraduate and postgraduate students and professionals entering ML via real-world implementations.turn0search2turn0search9turn0search5
9789389845426
Machine learning--introductory.
Data science --machine learning.
006.3 / b.h.m.
Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python / Harsh Bhasin. - first edition. - 244 pages : illustrations ; 23 cm.
Includes feature selection techniques, classification algorithms, neural networks, PCA and appendix cheat sheets.
Introduction to ML; Pre‑processing & Feature Selection; Regression; Classification (K‑NN, Logistic Regression, Naïve Bayes, LDA); Neural Networks I & II; SVM and Kernel Methods; Decision Trees; Clustering; Feature Extraction; Appendix (Cheat Sheets, Face Detection).
A hands-on guide to essential machine learning workflows using Python. Covers preprocessing, feature extraction, key classification algorithms, neural networks, SVMs, and clustering with practical examples. Aimed at undergraduate and postgraduate students and professionals entering ML via real-world implementations.turn0search2turn0search9turn0search5
9789389845426
Machine learning--introductory.
Data science --machine learning.
006.3 / b.h.m.