Machine Learning for Decision Sciences with Case Studies in Python

Machine Learning for Decision Sciences with Case Studies in Python

Rajappa, Suresh; Sumathi, S.; Kumar, L Ashok; Paneerselvam, Surekha

Taylor & Francis Ltd

10/2024

454

Mole

9781032193571

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Introduction 2. Overview of Python for Machine Learning 3. Data Analytics Life Cycle for Machine Learning 4. Unsupervised Learning 5. Supervised Learning: Regression 6. Supervised Learning: Classification 7. Feature Engineering 8. Reinforcement Learning 9. Case Studies for Decision Sciences Using Python
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Data Analytics;Regressions;Supervised/Unsupervised Learning;Decision Sciences;Reinforcement Learning;Clustering;RGB Intensity;Import Numpy;Import Pandas;Multiple Linear Regression;Ml Model;MDP.;CSV File;Unsupervised Learning;Import Seaborn;Linked List;Ml Algorithm;DBSCAN Algorithm;Scatter Plot;DBSCAN Cluster;Data Discovery;Clustering Algorithm;Python Code;Agglomerative Hierarchical Clustering;Divisive Hierarchical Clustering;MDP;MBA;Market Basket Analysis;DBSCAN Cluster Algorithm;Explained Variance;Insertion Sort