A framework for prototyping and benchmarking imputation methods
python data-science machine-learning scikit-learn imputation machine-learning-prerequisites imputation-algorithm preprocessing-data
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- Python
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preprocessing-data
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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
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In-sensor reservoir computing for language learning via two-dimensional memristors
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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…
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NLPiper is a package that agglomerates different NLP tools and applies their transformations in the target document.
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EEG/MEG data preprocessing and analyses framework
pipeline eeg-analysis time-frequency-analysis eeg-preprocessing connectivity-analysis preprocessing-data
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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
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A Python Library for the Generation of Artificial Missing Data
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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
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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
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Flask REST API for Recommender System Book App on Android
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A clean and modular pipeline for preprocessing the Food-101 dataset using both folder-based and CSV-based workflows.
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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
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Cleaned and processed HR data using Python for analysis and visualization. Analyzed employee trends and performance using SQL and Python. Built an interactive Power BI dashboard connected to MySQL for dynamic insights.
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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.
python numpy scikit-learn pandas matplotlib confusion-matrix histograms svm-classifier f1-score correlation-matrix decisiontreeclassifier accuracy-score randomforestclassifier smote-sampling precision-score recall-score smote-oversampler preprocessing-data
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This project involves web scraping, data preprocessing, database storage and visualization of IMDb movie data from the last decade (2014-2024). The dataset includes details of 10,000 movies such as name, release year, genre, ratings, metascore and more. The project culminates in an interactive Power BI dashboard for in-depth insights and reporting.
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- Jupyter Notebook
Analyzing logistics data to optimize shipment efficiency, reduce delays, and enhance supply chain visibility using Power BI. Insights include top routes, delays, supplier trends, and peak shipments.
python exploratory-data-analysis data-visualization datascience data-analysis problem-solving powerbi critical-thinking cleaning-data preprocessing-data supplychainanalytics shippingroutes transportationanalysis logisticsdata
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The specProc package is a collection of preprocessing tools for spectroscopy data analysis.
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- R
🤖This is an interactive Streamlit web application that predicts the likelihood of multiple diseases(Diabetes Prediction, Heart Disease Prediction, Parkinson's Disease Prediction) using Machine Learning models.
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- Jupyter Notebook
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