A Delta Lake reader for Dask
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Updated
Jul 17, 2024 - Python
A Delta Lake reader for Dask
Code for preprocessing data from the HEXTOF instrument at FLASH, DESY in Hamburg (DE)
Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.
Dask tutorial;Dask汉化教程
Flexible stacked visualization of circadian data from multiple sources and devices
βHΞDI (Biomarker-based Heuristic Engine for Dengue Identification) is a computational tool designed for the identification of Dengue virus serotypes in wastewater next-generation sequencing data.
Code for a talk on wrangling large datasets in pandas
Data Analysis on an extensive dataset of crimes in Chicago (2005 - 2016) using Dask
Full data analysis and data visualization projects notebooks using Pandas, Numpy, matplotlib and seaborn
This is a Time Series Forecasting and Regression solution to project the no. of pick-ups at and around a given region at a given time in the city of New York, USA.
Data Analysis on an extensive dataset of crimes in Chicago (2005-2016) using Dask
The following project shows and compares machine learning between Pandas DataFrames and Dask Dataframes.
This repository develops an advanced recommendation system to enhance the e-commerce shopping experience by automating product suggestions and analyzing user preferences through machine learning techniques and big data technologies.
POCs in order to explore new technologies.
This is a Xander project involving a Python script containing toothbrush sales data , which is scheduled on a cloud environment
It uses Dask as a Distributed Framework and Inspired by the work of https://github.com/entbappy/ML-Based-Book-Recommender-System
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
This is a project of distributed computing using Dask.
Experiment based on work project to convert a Pandas data frame into a binary file with custom data encoding.
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