train-validation-test

There are 8 repositories under train-validation-test topic.

  • rochitasundar/Predictive-maintenance-cost-minimization-using-ML-ReneWind

    The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

    Language:Jupyter Notebook20107

  • abdullah-al-masud/msdlib

    This is a custom library for data processing, visualization and machine learning tools.

    Language:Python14102

  • hurkanugur/Car-Price-Predictor

    This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.

    Language:Python1

  • jsk1107/coco_utils

    Split train/val/test coco dataset and Adjust annotations & categories.

    Language:Python1100

  • manjugovindarajan/RENEWIND-predictive-maintenance-cost-maintenance-usingML

    The aim is to decrease maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionizing model using pipelines

    Language:Jupyter Notebook0100

  • Wafama/Thesis_Code

    Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet

    Language:Jupyter Notebook0101

  • hurkanugur/Handwritten-Digit-Classifier

    This project implements a simple neural network for handwritten digit classification using the MNIST dataset and the Softmax activation function, built with PyTorch. The model is trained to recognize digits (0-9) based on pixel data from 28x28 grayscale images.

    Language:Python

  • hurkanugur/Loan-Approval-Classifier

    This project predicts loan approval outcomes (Approved/Rejected) using a PyTorch neural network. It includes data preprocessing, train/validation/test split, model training with BCEWithLogitsLoss, and inference with probability-based classification.

    Language:Python