Useful Resources

In this page, I would like to share my collection of useful resources/links/pdfs/source-codes that I have personally referred or used or developed. I have tried my best to organize the resources and give credits to the original stakeholders, wherever required and possible.

1. Data Science
• Machine Learning From the plethora of resources, I have selected few of them, which I believe are good Machine Learning beginners.
  1. Good videos and talks on Machine Learning
  2. Practical Machine Learning
  3. Support Vector Machines (Training, Tutorials)
• Data Mining
  1. Books
     1. Data Mining: Concepts and Techniques
     2. Data Mining: Practical Machine Learning Tools and Techniques
• Data Sets
  1. Amazon Product Data
  2. Stanford Data Collection
• Tools
  1. Weka - DataMining Software in Java
• Conferences
  1. Data Mining conferences by rank
  2. Data Mining Experts and conferences
• IAM Data Science Seminars - Data Science Seminar at University of Minnesota
2. Spark
1. PySpark - collection of useful PySpark notebook and resources 
3. Algorithm Concepts
4. Coding interviews related:
• collection of useful questions and solutions
• Careercup.com
5. Others:
• Stanford Open classroom
• Best Papers Collection