1,205 skills found · Page 9 of 41
MPI-BGC-Functional-Biogeography / Rtryrtry: Preprocessing Plant Trait Data
ManTouCIBR / CNN Training Testing Templates For Processing EEG SignalsA template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, visualization of results (loss, acc, obfuscation, PR, RE)
ShawonBarman / How To Download ABIDE Preprocessed Dataset For Autism DetectionThis script automates the download of preprocessed brain imaging data from the ABIDE dataset, focusing on a specific derivative, preprocessing pipeline, and noise-removal strategy. It filters participants by diagnosis (autism or controls) and downloads relevant data, streamlining research on autism spectrum disorder.
SnehaMondal0 / U.S. Chronic Disease IndicatorsMachine learning project analyzing the U.S. Chronic Disease Indicators dataset. Includes data preprocessing, EDA, and four trained models—Logistic Regression, KNN, Decision Tree, and Random Forest—with evaluation metrics and visualizations for classification
TxgStars / Wdcnn实现的是WDCNN的pytorch版本代码，对应论文的第三章 data包含了四个数据文件夹，这里只使用了0HP文件夹中的数据，里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码，虽然划分出来了验证集但是并没有使用 train.py定义了用于模型训练以及显示的函数和类 main.py定义了网络模型，调用另外两个py文件获取数据和进行训练 直接运行main.py文件即可得到的结果
joramvd / EegpreprocPreprocessing EEG data: Matlab code pipeline and pdf manual
FinDii / FeatureEngineeringA clean and modular Python toolkit for feature engineering, including data preprocessing, transformation, encoding, scaling and feature selection. Suitable for both exploratory data analysis and production workflows.
pavlo-seimskyi / Semantic Segmentation Satellite ImageryThis repository is a complete walkthrough to download the "landcovernet" dataset that contains label masks for Sentinel 2 images from Africa. It includes the data download, preprocessing and the model training with PyTorch and fastai.
li-pengcheng / 3d Data Precrocessing3d medical image preprocessing, supports conversion between nifiti data and h5py data, dicom2nii, crop 3d patch, extract 3d roi...
rohanmistry231 / ML Interview PreparationA comprehensive resource for machine learning interview preparation, featuring coding challenges, algorithm explanations, and practical Python examples. Covers supervised and unsupervised learning, model evaluation, and data preprocessing for technical interviews.
shaheen-syed / Twitter Sentiment AnalysisFull workflow to perform sentiment analysis on Twitter data. Contains crawlers, parsers, preprocessing, machine learning model creation, and various plots.
nmningmei / Preprocessing PipelinesPreprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
imyjk729 / MemristorIn-sensor reservoir computing for language learning via two-dimensional memristors
Ignophi / GgrecipesA collection of easy-to-use custom ggplot2-based functions for data exploration and analysis. Each function handles data preprocessing and returns a ggplot2 object that can be further customized using standard ggplot2 syntax. Includes general-purpose and domain-specific visualizations.
Psarpei / A Graphical Tool To Design And Train Deep Neural NetworksThis work is the result of my bachelor thesis. The idea was to build a graphical tool to design, create, and test neural networks. Further the tool should be able to export the neural network to integrate it into other applications. On top of that it should be able to load and preprocessing the data.
AdArya125 / Primer To Machine Learning'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preprocessing, supervised and unsupervised learning, neural networks, deep learning, NLP, time series analysis, and reinforcement learning. Perfect for beginners and intermediates.
PrachiDhiman5 / Lifestyle Health Risk PredictionMachine Learning project that predicts lifestyle-related health risks using data analysis and predictive modeling. Built an end-to-end ML pipeline including preprocessing, feature engineering, EDA, and models (regression, classification, clustering) using Python, Pandas, NumPy, and Scikit-learn.
SOHAM-THUMMAR / Brain Tumor Detection Model Using KerasBrain-Tumor-Detection-Model-using-Keras is a Python-based deep learning project that uses the Keras (TensorFlow) framework to detect brain tumors from MRI images. It provides a complete workflow including data preprocessing, dataset splitting, model training, and saving trained models for inference or further experimentation.
pb111 / Data Preprocessing Project Imbalanced Classes ProblemData Preprocessing Project - Imbalanced classes problem
SKawsar / Data Preprocessing For MLNo description available
