Data Engineering in Python: Basic Data Analysis with Pandas, NumPy, and Scikit-learn
69.99 €
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Data Engineering in Python: Basic Data Analysis with Pandas, NumPy, and Scikit-learn
69.99 €
This is a comprehensive guide to the exciting world of data science with Pandas, NumPy, and Scikit-learn. It contains many examples that will help you learn how to transform raw data into a masterpiece of valuable insights and analysis.
The book is divided into three parts, each of which is dedicated to specific aspects of working with data.
Part I. Preparing for Advanced Data Analysis
You will learn how to freely use the tools provided in the Pandas, NumPy, and Scikit-learn libraries for preliminary data preparation.
Part II. Engineering Features for Machine Learning Models
You will participate in a full-fledged data analysis project, as well as learn how to engineer new features and adjust data.
Part III. Cleaning and Preprocessing Data
You will participate in a large-scale time series forecasting project,
as well as learn how to correct data anomalies and master dimensionality reduction methods.
The publication is intended for both those taking their first steps in mastering data science and practicing specialists who want to improve their skills.
The book was written by employees of Cuantum Technologies, a company specializing in the development of high-quality web applications using advanced technologies and tools. The authors have extensive experience in data analysis and visualization, machine learning and artificial intelligence.
The book is divided into three parts, each of which is dedicated to specific aspects of working with data.
Part I. Preparing for Advanced Data Analysis
You will learn how to freely use the tools provided in the Pandas, NumPy, and Scikit-learn libraries for preliminary data preparation.
Part II. Engineering Features for Machine Learning Models
You will participate in a full-fledged data analysis project, as well as learn how to engineer new features and adjust data.
Part III. Cleaning and Preprocessing Data
You will participate in a large-scale time series forecasting project,
as well as learn how to correct data anomalies and master dimensionality reduction methods.
The publication is intended for both those taking their first steps in mastering data science and practicing specialists who want to improve their skills.
The book was written by employees of Cuantum Technologies, a company specializing in the development of high-quality web applications using advanced technologies and tools. The authors have extensive experience in data analysis and visualization, machine learning and artificial intelligence.
See also:
- All books by the publisher