DATA SCIENCE AND MACHINE LEARNING

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Description

Chapter 1 Introduction to Data Science – Chapter 2 Data Analytics Life Cycle – Chapter 3 Statistical Inference – Chapter 4 Predictive Data Analytics With Python – Chapter 5 Introduction to Machine Learning – Chapter 6 Feature Engineering – Chapter 7 Supervised Learning – Chapter 8 Classification – Chapter 9 Data Analytics and Model Evalution (I) – Chapter 10 Data Analytics and Model Evalution (II) – Chapter 11 Data Analytics and Model Evalution (III) – Chapter 12 Introduction to Neural Networks – Chapter 13 Natural Language Processing (NLP)

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