preprocessing-data

Here are 165 public repositories matching this topic...

vanderschaarlab / hyperimpute

A framework for prototyping and benchmarking imputation methods

python data-science machine-learning scikit-learn imputation machine-learning-prerequisites imputation-algorithm preprocessing-data

Updated Apr 4, 2023
Python

Unstructured-IO / community

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Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

open-source community machine-learning deep-learning nlp-parsing data-pipeline ocr-python document-ai preprocessing-data document-parsing

Updated Apr 7, 2023

Simple and automatic data cleaning in one line of code! It performs one-hot encoding, date & time casting to datetime dtype, detects binary columns, safely convert non-numeric columns to numeric dtypes, cleaning dirty/empty values, normalizing values and removing unwanted columns all in one line of code. Get your data ready for model training an…

data-science machine-learning data-analysis cleaning-data preprocessing-data

Updated May 22, 2021
Python

dlite-tools / NLPiper

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NLPiper is a package that agglomerates different NLP tools and applies their transformations in the target document.

nlp text text-analysis text-processing preprocessing nlp-parsing nlp-library preprocessing-data

Updated Aug 25, 2023
Python

imyjk729 / Memristor

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In-sensor reservoir computing for language learning via two-dimensional memristors

machine-learning memristor memristive-crossbar preprocessing-data

Updated Feb 16, 2023
Jupyter Notebook

weiglszonja / meeg-tools

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EEG/MEG data preprocessing and analyses framework

pipeline eeg-analysis time-frequency-analysis eeg-preprocessing connectivity-analysis preprocessing-data

Updated May 2, 2022
Jupyter Notebook

data-analyst-praktikum / Projects

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Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.

python machine-learning sql metrics numpy exploratory-data-analysis plotly jupyter-notebook funnels pandas data-visualization data-analysis matplotlib ab-testing cohort-analysis statistical-data-analysis preprocessing-data unit-economics

Updated Feb 21, 2021
HTML

UniFeat / unifeat

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An open-source tool for performing feature selection process in different areas of research

machine-learning feature-selection supervised-learning dimensionality-reduction unsupervised-learning multi-class-classification preprocessing-data

Updated Jun 16, 2023
Java

cecivieira / cotas-genero-eleicoes-e-proposicoes-legislativas

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Análise de dados sobre cotas de gênero e seu impacto nas eleições e proposições legislativas da Câmara dos Deputados Federais entre 1934 e 2021. Parte do TCC da pós-graduação em Inteligência Artificial e Aprendizado de Máquina na @pucminas

python pandas dataanalysis randomforestclassifier preprocessing-data

Updated Apr 26, 2022
Jupyter Notebook

tuanio / backend-recommender-system-book

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Flask REST API for Recommender System Book App on Android

python flask preprocessing-data

Updated Nov 6, 2022
Jupyter Notebook

bharadwaj-chukkala / Data-driven-motion-planning-using-various-machine-learning-algorithms

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ENPM808A: Introduction to Machine Learning Final Project

python machine-learning neural-network tensorflow optimization linear-regression data-visualization data-structures regularization feature-engineering predictive-modeling hyperparameter-tuning scikitlearn-machine-learning hoeffding generalization preprocessing-data

Updated Jul 11, 2023
Jupyter Notebook

Navaneeth-Sharma / Speech_Recognition_of_Digits

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This project of recognizing digit and converting it to text uses Signal processing techniques such as MFCC and other Advanced Signal Processing techniques for the preprocessing of the data. Then the Preprocessed data is used by the Neural Network algorithms to learn the pattern or structure of the sound.

machine-learning signal-processing neural-networks mfcc cnn-keras preprocessing-data mfcc-images

Updated Dec 17, 2020
Jupyter Notebook

FaezehAbedi2023 / Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models

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This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.