Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

A lightweight helper utility which allows developers to do interactive pipeline development by having a unified source code for both DLT run and Non-DLT interactive notebook run.

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

Families In the WIld: A Kinship Recogntion Toolbox.

Big Data Docker Data Science Spark Spark3 Hadoop HDFS Scala Python Artificial Intelligence Machine Learning Jupyter Lab Notebook

Project for the Big Data Computing course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022

Build a movie recommendation data pipeline using Azure services for efficient data ingestion, transformation, and orchestration. Utilize Azure Blob Storage, Azure Databricks, and Azure Data Factory to implement collaborative filtering and PySpark ML for accurate movie recommendations.

This is the final project I had to do to finish my Big Data Expert Program in U-TAD in September 2017. It uses the following technologies: Apache Spark v2.2.0, Python v2.7.3, Jupyter Notebook (PySpark), HDFS, Hive, Cloudera Impala, Cloudera HUE and Tableau.

Blog Post 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.

Notebooks of "Scala for Data Science" learning path on Cognitive Class

A collection of iPython notebooks exploring topics in Big Data

📓 A series of Jupyter notebooks to experiment with big data

📔 3D conjugate heat transfer

🔥 👏 🐶 blog

In this Python notebook, we explore how K-Means can be used for customer segmentation to gain a competitive advantage and improve a business's bottom line.

Collection of research notebooks done by Eonian