MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

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SeungHeonDoh
Bigdata Simulation Library Of Dream By Sandman Books

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DataPrep — The easiest way to prepare data in Python

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Python ELT Studio, an application for building ELT (and ETL) data flows.

The Python Extract, Load, Transform Studio is an application for performing ELT (and ETL) tasks. Under the hood the application consists of a two parts.

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WithPipe is a simple utility for functional piping in Python.

A utility for functional piping in Python that allows you to access any function in any scope as a partial.

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Python Practicum - prepare for your Data Science interview or get a refresher.

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Conduits - A Declarative Pipelining Tool For Pandas

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TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data

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Data pipelines built with polars

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Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities

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Vectorizers for a range of different data types

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Show you how to integrate Zeppelin with Airflow

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Fit models to your data in Python with Sherpa.

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INF42 - Topological Data Analysis

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We're Team Arson and we're using the power of predictive modeling to combat wildfires.

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Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Sensitivity Analysis Library (SALib) Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the

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Probabilistic reasoning and statistical analysis in TensorFlow

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ETL flow framework based on Yaml configs in Python

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Pyspark project that able to do joins on the spark data frames.

SPARK JOINS This project is to perform inner, all outer joins and semi joins. create_df.py: load_data.py : helps to put data into Spark data frames. d

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