Notebooks performed during BigData subject - 8th semester - Systems Engineering - Universidad Santo Tomás

Gallery of Apache Zeppelin notebooks using Enth-Spark-AI.

📔 3D conjugate heat transfer

Data science encompasses a wide range of areas, topics, and sub-domains such as Big Data, Machine & Deep learning (ETL, TensorFlow, Keras), Data Mining/Visualization (EDA), BI, Predictive Analytics, Statistical Analytics, etc.

Collection of research notebooks done by Eonian

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.

text analysis ipython notebooks for text analysis

Notebooks for Python and Spark for Big Data

Performed Big Data Analysis on Bundesliga Football League Dataset using tools PySpark, spark-SQL, and numpy and done in Jupyter Notebook.

Simple examples of using spark RDDs with a remote jupyter notebook

Juypiter Notebooks to demonstrate the Lambda Architecture with Kafka Streams and Apache Spark

The notebook shows how tools of the PySpark SQL module work in practice.

Practicas de Aprendizaje automatico y big data programadas en python y jupyter notebooks

Homework Notebooks of Art of Analyzing Big Data - The Data Scientist’s Toolbox.

Simple notebook illustrating Hadoop example with map reduce on a large file for big data.

This repository contains python notebooks with regards to live classes of iNeuron Full Stack Data Science Course

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.

This repo contains my learnings and practices Zepplin notebooks on Spark using Scala. 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.