Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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Updated
Mar 16, 2024 - Jupyter Notebook
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Jupyter notebooks for pyspark tutorials given at University
Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.
Azure Databricks - Advent of 2020 Blogposts
PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beginner-friendly without any prerequisites.
JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook
Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning
Collection of Databricks and Jupyter Notebooks
This repo contains my learnings and practice notebooks on Spark using PySpark (Python Language API on Spark). All the notebooks in the repo can be used as template code for most of the ML algorithms and can be built upon it for more complex problems.
Zeppelin Notebooks for use on AWS EMR with and without using Zelp
Pyspark Notebook With Docker
A collection of data analysis projects done using PySpark via Jupyter notebooks.
My notebook on using Python with Jupyter Notebook, PySpark etc
📓 [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.
Blog Post Notebooks
Analytics and ML notebooks
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