lamastex / scalable-data-scienceLinks
Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.
☆168Updated 7 months ago
Alternatives and similar repositories for scalable-data-science
Users that are interested in scalable-data-science are comparing it to the libraries listed below
Sorting:
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆72Updated 5 years ago
- Learn the pyspark API through pictures and simple examples☆170Updated 4 years ago
- XGBoost GPU accelerated on Spark example applications☆53Updated 3 years ago
- Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops☆118Updated 2 years ago
- Code from the book Machine Learning Systems☆144Updated 7 years ago
- Apache Spark (Scala, PySpark, SparkR) Code, Tricks, and References☆69Updated 6 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- Cheatsheet for Spark DataFrame☆91Updated 5 years ago
- Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable S…☆67Updated 9 years ago
- Workshop for Spark and Databricks☆54Updated 5 years ago
- Mastering Spark for Data Science, published by Packt☆47Updated 2 years ago
- PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2☆86Updated 5 years ago
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.☆65Updated 5 years ago
- MLflow App Library☆78Updated 6 years ago
- ☆102Updated 2 years ago
- Large-scale Graph Mining with Spark☆39Updated 6 years ago
- Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL☆211Updated 2 years ago
- ☆133Updated last year
- Scala and Spark for Big Data Analytics, published by Packt☆36Updated 2 years ago
- ☆155Updated 4 years ago
- notebooks for nlp-on-spark☆13Updated 8 years ago
- A collaborative feature engineering system built on JupyterHub☆94Updated 6 years ago
- Analyzing NBA data using Spark 2.1☆46Updated 8 years ago
- Labs and data files for a full-day Spark workshop☆24Updated 3 months ago
- Resources for Data Science Process management☆204Updated 5 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆37Updated 7 years ago
- Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/☆177Updated last year
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆177Updated last year
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago