Building machine learning systems using Python : practice to train predictive models and analyze machine learning results with real use‑cases /
Chopra, Deepti,
Building machine learning systems using Python : practice to train predictive models and analyze machine learning results with real use‑cases / Dr Deepti Chopra. - 1st edition. - 136 pages ; 24 cm.
Includes bibliographical references.
1. Introduction to Machine Learning ‡ 2. Linear Regression ‡ 3. Classification Using Logistic Regression ‡ 4. Overfitting and Regularization ‡ 5. Feasibility of Learning ‡ 6. Support Vector Machine ‡ 7. Neural Network ‡ 8. Decision Trees ‡ 9. Unsupervised Learning ‡ 10. Theory of Generalization ‡ 11. Bias and Fairness in ML.
A beginner‑friendly guide to machine learning with practical implementations of regression, classification, clustering, SVM, decision trees, neural networks, and unsupervised learning using Python and scikit‑learn. :contentReference[oaicite:1]
9789389423617
Machine learning.
Predictive analytics.
006.3 / c.e.b.
Building machine learning systems using Python : practice to train predictive models and analyze machine learning results with real use‑cases / Dr Deepti Chopra. - 1st edition. - 136 pages ; 24 cm.
Includes bibliographical references.
1. Introduction to Machine Learning ‡ 2. Linear Regression ‡ 3. Classification Using Logistic Regression ‡ 4. Overfitting and Regularization ‡ 5. Feasibility of Learning ‡ 6. Support Vector Machine ‡ 7. Neural Network ‡ 8. Decision Trees ‡ 9. Unsupervised Learning ‡ 10. Theory of Generalization ‡ 11. Bias and Fairness in ML.
A beginner‑friendly guide to machine learning with practical implementations of regression, classification, clustering, SVM, decision trees, neural networks, and unsupervised learning using Python and scikit‑learn. :contentReference[oaicite:1]
9789389423617
Machine learning.
Predictive analytics.
006.3 / c.e.b.