Data preprocessing is the first step in data visualization, data analytics, and machine learning, where data is prepared for analytics functions to get the best possible insights. Around 90% of the ...

Key Features Develop the skills to perform data cleaning, data integration, data reduction, and data transformation Make the most of your raw data with powerful data transformation and massaging ...

Python, a programming language favored in data science, offers libraries like pandas and NumPy that are perfect for data preprocessing. With Python, you can automate repetitive tasks, handle large ...

Data Stories by Students Data Stories Created by Students In Spring 2023, Professor Dana Willner's DATA 303, Data Visualization students used their data science skills to illustrate data shared on the ...

Following is what you need for this book: Junior and senior data analysts, business intelligence professionals, engineering undergraduates, and data enthusiasts looking to perform preprocessing and ...

By the end of this Python data preprocessing book, you'll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques, and ...