Files for Porter, Verdery and Gaddis - Big Data's Little Brother - ASA Methodology Section 2016
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Updated
Aug 6, 2020 - HTML
Files for Porter, Verdery and Gaddis - Big Data's Little Brother - ASA Methodology Section 2016
Category: Cloud Computing and Machine Learning Application - Subject: A cloud platform to make data processing with machine learning algorithms, built on Openstack, using Spark for data distribution and Hadoop Filesystem for data storage
Processing large data files using different R data.table package and Command Line tools.
📊 NN classifying Fashion-MNIST images
Movie Data Analysis-We will get to know complete movie information with a small hint only.
📊 UBC graduate course for data visualization
Gene Info Extractor: A Python script to extract gene information and annotations from CSV data
Adventures in massively parallel cloud computing with Banyan Julia!
📦 Service to export companies list
Using VisPy to read 3D object vertices and calculate average of selected coordinates.
pneumonia model using Kaggle dataset. Data augmentation is used
Data analysis with R
Python Data Visualitation and Time Series for Sales Project Notebook
The codes for downloading data from https://www.hycom.org/
Machine Learning Journey: A personal repository documenting my self-study in machine learning, offering insights, experiments, and curated resources.
This dataset compiles the number of occurrences of male and female baby names during specific time periods. It then calculates the probability of a name based on the total count. The data comes directly from government authorities, ensuring its credibility.
‘R for Geoscience’ is a project focused on the field of Earth Science, aiming to utilize the R programming language for processing, analyzing, and visualizing Earth science data.
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