Book Image

Hands-On Data Analysis with Pandas

By : Stefanie Molin
Book Image

Hands-On Data Analysis with Pandas

By: Stefanie Molin

Overview of this book

Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.
Table of Contents (21 chapters)
Free Chapter
1
Section 1: Getting Started with Pandas
4
Section 2: Using Pandas for Data Analysis
9
Section 3: Applications - Real-World Analyses Using Pandas
12
Section 4: Introduction to Machine Learning with Scikit-Learn
16
Section 5: Additional Resources
18
Solutions

Learning the lingo

Machine learning is a subset of artificial intelligence (AI) whereby an algorithm can learn to predict values from input data without explicitly being taught rules. These algorithms rely on statistics to make inferences as they learn; they then use what they learn to make predictions.

Machine learning can be found everywhere we look—applying for a loan, using a search engine, sending a robot vacuum to clean a specific room with a voice command—because it can be used for many purposes, for example, voice recognition by AI assistants such as Alexa, Siri, or Google Assistant, mapping floor plans by exploring surroundings, determining who will default on a loan, figuring out which search results are relevant, and even painting (https://www.boredpanda.com/computer-deep-learning-algorithm-painting-masters/).

There are three main types of machine learning...