Agile Data Science Tutorial
Agile Data Science Useful Resources
Selected Reading
- Implementation of Agile
- Creating better scene with agile & data science
- Improving Prediction Performance
- Fixing Prediction Problem
- Agile Data Science - SparkML
- Deploying a predictive system
- Building a Regression Model
- Extracting features with PySpark
- Role of Predictions
- Working with Reports
- Data Enrichment
- Data Visualization
- Collecting & Displaying Records
- NoSQL & Dataflow programming
- SQL versus NoSQL
- Data Processing in Agile
- Agile Tools & Installation
- Agile Data Science - Process
- Methodology Concepts
- Agile Data Science - Introduction
- Agile Data Science - Home
Agile Data Science Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Agile Data Science - Discussion
Discuss Agile Data Science
Agile is a software development methodology that helps in building software through incremental sessions using short iterations of 1 to 4 weeks so that the development is apgned with the changing business needs. Agile Data science comprises of a combination of agile methodology and data science. In this tutorial, we have used appropriate examples to help you understand agile development and data science in a general and quick way.
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