datamindedbe / python-and-spark-for-data-analysisLinks
A four-day course on Python, the Scientific Python stack and PySpark, adapted from a training course given by Patrick Varilly to one of our clients in December 2015
☆11Updated 9 years ago
Alternatives and similar repositories for python-and-spark-for-data-analysis
Users that are interested in python-and-spark-for-data-analysis are comparing it to the libraries listed below
Sorting:
- Repo for all my code on the articles I post on medium☆107Updated 2 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- Repository used for Spark Trainings☆53Updated 2 years ago
- ☆18Updated 7 years ago
- ☆18Updated 3 years ago
- Just a boilerplate for PySpark and Flask☆35Updated 6 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated last year
- Spark NLP for Streamlit☆15Updated 3 years ago
- Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …☆30Updated 4 years ago
- Creating a Streaming Pipeline for user log data in Google Cloud Platform☆22Updated 5 years ago
- A simple introduction to using spark ml pipelines☆26Updated 7 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆35Updated 5 years ago
- Realtime social media data analytics with Apache Spark, Python, Kafka, Pandas, etc☆51Updated 8 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆39Updated 4 years ago
- Code for my presentation: Using PySpark to Process Boat Loads of Data☆20Updated 7 years ago
- Code repository supporting the medium blog☆12Updated 5 years ago
- Deploy your ML model as an API on AWS☆41Updated 4 years ago
- Example custom model image trainable and distributable via AWS SageMaker☆35Updated 2 years ago
- A four-day course on Python, the Scientific Python stack and PySpark, adapted from a training course I gave to one of our clients in Dece…☆10Updated 9 years ago
- Guide on creating an API for serving your ML model☆66Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year
- ☆19Updated 4 years ago
- Public source code for the Batch Processing with Apache Beam (Python) online course☆18Updated 4 years ago
- A repository for a PySpark Cookbook by Tomasz Drabas and Denny Lee☆59Updated 7 years ago
- A walkthrough of how to predict the next best action for sales progression.☆11Updated 5 years ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆121Updated 2 years ago