Samir Madhavan has been working in the field of data science since 2010. He is an industry expert on machine learning and big data. He has also reviewed R Machine Learning Essentials by Packt Publishing. He was part of the ubiquitous Aadhar project of the Unique Identification Authority of India, which is in the process of helping every Indian get a unique number that is similar to a social security number in the United States. He was also the first employee of Flutura Decision Sciences and Analytics and is a part of the core team that has helped scale the number of employees in the company to 50. His company is now recognized as one of the most promising Internet of Things—Decision Sciences companies in the world.
Mastering Python for Data Science
By :
Mastering Python for Data Science
By:
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