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Bibliographic Details

Title: Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Publisher: Apress
Publication Date: 2019
Language: English
ISBN 10: 1484256905
ISBN 13: 9781484256909
Binding: Soft cover
Edition: International Edition
Condition: New

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Chapter 1: Statistics and ProbabilityChapter Introduction and hands on approach to central limit theorem, distributions, confidence intervals, statistical tests, ROC curves, plots, probabilities, permutations and combinationsNo of 70-80Sub -Topics1. Exploratory Data analysis2. Probability Distributions3. Concept of Permutations and Combinations4. Statistical tests5. Applications in the industry6. Case study
Chapter 2: RegressionChapter Introduction and hands on approach to the concept of regression, linear regression models, non linear regression models.No of 50-60Sub - Topics1. Concept of Regression2. Linear regression3. Polynomial order regression4. Statistical tests5. Applications in the industry6. Case studyChapter 4: Classification and ClusteringChapter Introduction and hands on approach to supervised, semi supervised and unsupervised models. Emphasis on Logistic regression, k-means, Support Vector Machines, Neural networksNo of 80-90Sub - Concept of Classification and clustering2. Deep neur3. Support Vector Machines4. Concept of Gradient descent5. Statistical tests6. Applications in the industry7. Case study
Chapter 5: Ensemble methodsChapter Introduction and hands on approach to Bagging, and Gradient BoostingNo of 50-60Sub - Concept of ensemble methods2. Concept of Bagging 3. Concept of Gradient Boosting4. Statistical tests5. Applications in the industry6. Case study

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