Using AWS s3,SQL,python and Pyspark, build data pipelines to provide the analytics department with the required formatted data
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Updated
Feb 23, 2023 - Jupyter Notebook
Using AWS s3,SQL,python and Pyspark, build data pipelines to provide the analytics department with the required formatted data
Various Python programs working with CSV and tabular data
Predicting how capable each applicant is of repaying a loan?
My experiments on the rossmann dataset
Gaussian process applied to tabular models (implemented with fastai)
Statistics and Quantitative Analysis Library for C++. Squall provides a set of robust, high-performance and easy to use tools for managing, manipulating & reshaping datasets, calculating statistics, aggregating data, extracting subsets and much more. Squall contains 4 header files only and is easy to implement into any existing C++ project.
Tless is a lightweight command-line utility to view tabular data in text files, much like less for ordinary text. It allows locking of rows and columns, synchronized-scrolling, and searches.
Web Application for Table Data Visualization
The goal is to determine the presence or absence of smoking through bio-signals.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A very efficient library for diffing two sorted streams of tabular data, such as CSV files.
A data science project involving data exploration, data engineering, and machine learning engineering to detect diseases in patients using machine learning.
Python package customizing nested cross validation for tabular data.
Adding row and column highlighting to an ASP.NET Gridview.
Dataframe to tensor converter for deep learning.
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