Open Data Profiling, Quality and Analysis on NYC OpenData dataset with semantic profiling using fuzzy ratio, Levenshtein distance and regex

A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)

Simple example on how Modin can peed up your Pandas workflows by changing a single line of code

Recommendation system approaches

Using the MovieLens dataset with Surprise to compare different algorithms for rating prediction, and also create a movie recommendation system on top of it.

Unlimited Data-Science Benchmarks for Numeric, Tabular and Graph Workloads

A transformation pipeline for Delta Lake using AWS SDK for Pandas

Delve deeper into data manipulation using Python's prominent libraries. Explore the functionalities of Pandas and get a glimpse of alternatives like Polars, Dask, and Modin.

HHA507 / Data Science / Assignment 2 / Data Manipulation

Build a machine model to predict whether the freshwater is safe to drink or not.Based on the measures like pH, TDS, etc.

oneAPI Hackathon: The LLM Challenge

AI Starter Kit to generate structured synthetic data using Intel® Distribution of Modin

Python and Pandas are known to have issues around scalability and efficiency. You will learn how to use libraries such as Modin, Dask, Ray, Vaex etc to overcome the problems faced by Pandas.

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

A Bioinformatics demo in Python working with FASTQ files and using the Modin library

Global Markets Options Pricing

A low-level execution library for analytic data processing.

Distributed XGBoost on Ray

Simple stats on SGE accounting data