Mastering Python for Data Science
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Mastering Python for Data Science
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Overview of this book
Table of Contents (19 chapters)
Mastering Python for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started with Raw Data
Inferential Statistics
Finding a Needle in a Haystack
Making Sense of Data through Advanced Visualization
Uncovering Machine Learning
Performing Predictions with a Linear Regression
Estimating the Likelihood of Events
Generating Recommendations with Collaborative Filtering
Pushing Boundaries with Ensemble Models
Applying Segmentation with k-means Clustering
Analyzing Unstructured Data with Text Mining
Leveraging Python in the World of Big Data
Index
Customer Reviews