Pytorch code for multi-Instance multi-label problem
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Mar 8, 2019 - Jupyter Notebook
#
f1score
Here are 11 public repositories matching this topic...
A machine learning project to predict telecom customer churn using classification models. It includes data preprocessing, visualization, model evaluation, hyperparameter tuning (GridSearchCV/RandomizedSearchCV), and final model deployment using Streamlit. Dataset: Telco Customer Churn.
python numpy machine-learning-algorithms seaborn naive-bayes-classifier accuracy recall logistic-regression matplotlib support-vector-machines precision decision-tree-classifier random-forest-classifier gridsearchcv f1score k-nearest-neighbor-classifier randomizedsearchcv pnadas
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Jul 13, 2025 - Jupyter Notebook
Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.
python sklearn exploratory-data-analysis pandas pytorch sentinel-2 binaryclassification f1score wandb solafune
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Aug 30, 2024 - HTML
Developed phase recognition models based on MobileNetV2 to classify frames from Hernia surgery videos.
cnn lstm classification accuracy smoothing object-detection surgery mobilenetv2 f1score dataaugmentation
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Apr 13, 2022 - Jupyter Notebook
Light js package to compute several data science formulas
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Mar 6, 2023 - JavaScript
This project investigates various continual learning methods to mitigate catastrophic forgetting
visualization dataset mnist adam-optimizer catastrophic-forgetting elastic-weight-consolidation f1score split-cifar100 synaptic-intelligence learning-without-forgetting replay-based-approach
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May 5, 2025 - Python
This repository contains the notebook for model training, hyperparameter tuning, and evaluation. It demonstrates a complete machine learning pipeline from data preprocessing to performance comparison across multiple models.#CelebalTechnologies
machine-learning logistic-regression hyperparameter-tuning random-forest-classifier gridsearchcv redwine f1score recall-precision randomsearch-cv redwinequality
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Jun 29, 2025 - Jupyter Notebook
This notebook shows how the f1 metric differs accuracy on imbalanced data. The heart disease dataset from kaggle is used (https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease).
comparison accuracy logistic-regression imbalanced-data f1-score accuracy-metrics f1score imbalance-classification
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Apr 8, 2022 - Jupyter Notebook
Machine learning projects done for micro credential in data science course
machine-learning confusion-matrix svm-classifier knn-classification classifier-model correlation-matrix random-forest-classifier accuracy-score f1score
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Nov 22, 2022 - Jupyter Notebook
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