Pytorch code for multi-Instance multi-label problem
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Mar 8, 2019 - Jupyter Notebook
#
f1score
Here are 12 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
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
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
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
A company managing tourist real estate aims to offer a transfer service. This project uses logistic regression to analyze customer data and identify profiles most likely to purchase the service, enabling targeted early notifications to increase conversion and improve customer experience.
data-science data-transformation randomforest xgboost recall logistic-regression confusion-matrix class-imbalance data-cleaning decision-tree precision model-evaluation gradientboosting oversampling bagging roc-auc f1score grid-search-cv
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Mar 30, 2026 - Jupyter Notebook
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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