1,204 skills found · Page 5 of 41
Niccolo-Ajroldi / PlainLMMinimal pretraining script for language modeling in PyTorch. Supporting torch compilation and DDP. It includes a model implementation and a data preprocessing script.
miohana / Data Preprocessing:crystal_ball: Example of data preprocessing using Python.
jario-jin / SpireViewanother toolset for image data annotation, preprocessing, visualization
Elysian01 / Data PurifierA Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning and Natural Language Processing Applications in Python.
preprocessy / PreprocessyPython package for Customizable Data Preprocessing Pipelines
yasirutomo / Text NormalizationNormalisasi teks atau preprocessing untuk data media sosial
phish-tech / MmWave Heartbeat Dataset Preprocessing Toolbox This repository releases raw 77 GHz mmWave .bin data and a minimal MATLAB pipeline for preprocessing and EEMD-based respiration/heartbeat separation, serving as a simple baseline for radar vital-sign research. 本项目开源 77 GHz 毫米波雷达的单人实验 .bin 原始数据，并提供一套简洁的 MATLAB 预处理与 EEMD 分解示例，用于从雷达相位信号中分离呼吸与心跳成分，作为非接触生命体征研究的基线工具。
CodeByPinar / Plant Health Monitoring🌱 This project aims to automate plant health monitoring using computer vision and deep learning. It focuses on accurate disease detection and classification in plants through rigorous data preprocessing and robust model selection.
KlemenBr / Uwb PositioningThe code contains the preprocessing scripts and experiments that work on UWB Positioning and Tracking Data Set. The code demonstrate the UWB positioning technique with ranging error mitigation using deep learning-based ranging error estimation by convolutional neural networks (CNN) using TensorFlow deep learning platform.
Azure-Samples / Functions Python Data Cleaning PipelineUsing Python for Azure Functions to clean and preprocess data using pandas through a Blob and Event grid messaging pipeline
s-omranpour / DeepMusicA python package for high level musical data manipulation and preprocessing, making data ready to be fed to a neural network.
Krishna18062005 / ML With PythonThis repository contains various machine learning projects implemented using Python, showcasing algorithms, data preprocessing techniques, and model evaluation.
neherlab / Covid19 Scenarios DataData preprocessing scripts and preprocessed data storage for COVID-19 Scenarios project
Gewissta / Data Preprocessing In PythonПрограммный код к книге "Предварительная подготовка данных в Python"
undiscovered-genius / Netflix Prime Hotstar Dashboard Power BIWorked on various OTT Dataset. Used the Query Editor for data cleaning and preprocessing. Displayed the visuals using a variety of plots, cards.
DavieObi / Indian Flight Price PredictionPredicts Indian flight prices using Python, Scikit-learn, and Streamlit. Features like airline, route, time, and stops feed a linear regression model for real-time estimates, aiding travel planning. Data preprocessing and an intuitive interface ensure accurate, user-friendly predictions.
DavieObi / Subscription Cohort AnalysisThis project performs a subscription cohort analysis and predictive modeling using Python. It includes data preprocessing, feature engineering, and the training of three models: Logistic Regression, K-Nearest Neighbors, and Random Forest. The goal is to predict if a subscription was paid and to compare model performance.
Pandey-Adarsh / HR Analytics PowerBIHR Data Analytics portfolio project on a dataset of 80K records that deals with HR KPIs like Performance tracking, attrition rate. Project involved cleaning, transforming data and visualizing it to create a dashboard. I have used the MS Excel and Power BI's Query Editor for data cleaning and preprocessing and dashboard.
sccn / SIFTSIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.
PACKIARAJ-R / ML Image Classification Using CNNBuilt a CNN-based image classification system with data preprocessing, model training, evaluation, and result visualization using accuracy curves and confusion matrix for reliable image recognition.
