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Python Data Analysis
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Python Data Analysis
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Overview of this book
This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.
Table of Contents (20 chapters)
Preface
Getting Started with Python Libraries
NumPy and pandas
Statistics
Linear Algebra
Section 2: Exploratory Data Analysis and Data Cleaning
Data Visualization
Retrieving, Processing, and Storing Data
Cleaning Messy Data
Signal Processing and Time Series
Section 3: Deep Dive into Machine Learning
Supervised Learning - Regression Analysis
Supervised Learning - Classification Techniques
Unsupervised Learning - PCA and Clustering
Section 4: NLP, Image Analytics, and Parallel Computing
Analyzing Textual Data
Analyzing Image Data
Parallel Computing Using Dask
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