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Machine Learning Using R
Beschreibung:
This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data.
Chapter 1: Introduction to Machine Learning and R.- Chapter 2: Data Preparation and Exploration.- Chapter 3: Sampling and Resampling Techniques.- Chapter 4: Visualization of Data.- Chapter 5: Feature Engineering.- Chapter 6: Machine Learning Models: Theory and Practice.- Chapter 7: Machine Learning Model Evaluation.-Chapter 8: Model Performance Improvement.- Chapter 9: Scalable Machine Learning and related technology.
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