- This is the home for Scala/Spark solutions to Data Algorithms
- Started providing Scala/Spark solutions to chapters included in Data Algorithms book
| Chapter | Title |
|---|---|
| Chapter 01 | Secondary Sorting |
| Chapter 03 | Top-10 |
| Chapter 04 | Left Outer Join |
| Chapter 05 | Relative Frequency |
| Chapter 06 | Moving Average |
| Chapter 07 | Market Basket Analysis: Find Association Rules |
| Chapter 08 | Find Common Friends |
| Chapter 09 | Friend Recommendation: recommed friends |
| Chapter 10 | Movie Recommendation: recommed movies |
| Chapter 11 | Markov algorithm: smart email marketing |
| Chapter 12 | Kmeans Example |
| Chapter 13 | kNN algorithm |
| Chapter 14 | Naive Bayes Classifier |
| Chapter 16 | Counting and Listing Triangles in a Graph |
| Chapter 17 | Kmer Counting |
| Chapter 22 | Ttest |
| Chapter 23 | All vs. All Correlation |
| Chapter 24 | DNA Base Counting |
| Chapter 26 | Gene Aggregation |
| Chapter 28 | Monoid and MapReduce |
I want to say "big thank you" to my friend: Gaurav Bhardwaj ([email protected]) for his great contributions to the Scala/Spark programs. I am sure that his contributions will help the Spark community.
- View Mahmoud Parsian's profile on LinkedIn
- Please send me an email: [email protected]
- Twitter: @mahmoudparsian
Thank you!
best regards,
Mahmoud Parsian
