Notebooks performed during BigData subject - 8th semester - Systems Engineering - Universidad Santo Tomás
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Updated
Aug 12, 2024 - Jupyter Notebook
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.
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.
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.
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