Numbers with precision and a unit for JavaScript
-
Updated
Jul 29, 2025 - HTML
#
accuracy
Here are 20 public repositories matching this topic...
It is a Flask Application to predict a person covid positive/negetive based on chest x ray of a person.This Machine Learning Web Application utilizes a Two-Layered Convolutional Neural Network to process the chest-x-ray Images and predict if they are corona positive/negetive accuracy of nearly 81%.
flask machine-learning chest classification accuracy deeplearning chest-xray-images beautifulsoup4 cnn-classification coronavirus-tracking coronavirus-tracker covid-19
-
Updated
Nov 22, 2022 - HTML
Classifying Forest Cover type
machine-learning random-forest numpy scikit-learn jupyter-notebook pandas python3 seaborn supervised-learning classification accuracy matplotlib udacity-nanodegree f1-score capstone-project sgd-classifier extra-trees-classifier adaboosting capstone-report forest-cover-type-prediction
-
Updated
Oct 3, 2020 - HTML
Deep learning accuracy / efficiency tradeoff diagrams
-
Updated
Oct 3, 2019 - HTML
Getting Intuition behind the implementation of Naive Bayes Classifier with SMS spam collection data.
machine-learning scikit-learn pandas python3 naive-bayes-classifier supervised-learning classification accuracy bag-of-words recall precision sms-spam-detection f1-score multinomial-naive-bayes
-
Updated
Oct 8, 2018 - HTML
A comprehensive machine learning web application for diabetes prediction, featuring real-time model evaluation and interactive performance visualization. This platform combines modern ML techniques with an intuitive interface to help analyze diabetes risk factors and make predictions.
machine-learning python-programming accuracy recall logistic-regression support-vector-machines decision-tree precision k-nearest-neighbours f1-score model-implementation
-
Updated
Feb 23, 2025 - HTML
Build an algorithm to best identify potential donors of CharityML
python machine-learning-algorithms jupyter-notebook prediction feature-selection feature-extraction supervised-learning accuracy confusion-matrix census decision-tree-classifier feature-importance random-forest-classifier gridsearchcv finding-donors charityml udacity-data-science-nanodegree logistic-regression-classifier fbeta-score
-
Updated
Sep 18, 2019 - HTML
Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.
python machine-learning exploratory-data-analysis accuracy catboost binaryclassification shap optuna
-
Updated
Jul 4, 2023 - HTML
Predicting cement strength
python numpy sklearn pandas seaborn accuracy ensemble matplotlib knn-regression support-vector-regression decision-tree-regression feature-importance kfold-cross-validation gridsearchcv random-forest-regression gradient-boosting-regressor xgboost-regression bagging-regressor adaboost-regressor
-
Updated
Jan 23, 2023 - HTML
In this project, we build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to an Azure AutoML run.
-
Updated
Jan 4, 2021 - HTML
End-to-end projects: customer churning prediction using the Random Forest Classifier Algorithm with 97% accuracy; performing pre-processing steps; EDA and Visulization fitting data into the algorithm; and hyper-parameter tuning to reduce TN and FN values to perform our model with new data. Finally, deploy the model using the Streamlit web app.
visualization webpage deployment random-forest model eda feature-selection accuracy feature-engineering cleaning-data modelselection streamlit readingdatasets
-
Updated
Sep 13, 2023 - HTML
Личный проект в области Computer Vision
accuracy fastai learning-curve multiclass-classification resnet-50 focalloss faiss torchvision validation-curve cd-covers
-
Updated
Jun 25, 2024 - HTML
Interactive confusion matrix - change numbers of different types of results and see how the derived statistics change
-
Updated
May 14, 2022 - HTML
This repository has demo code for showing how to train models with caret and use a customised accuracy metric to select models
-
Updated
Oct 27, 2019 - HTML
Kaggle's Competition
machine-learning exploratory-data-analysis cross-validation kaggle accuracy logistic-regression feature-engineering
-
Updated
Aug 15, 2021 - HTML
Finding Donors for CharityML
python efficiency supervised-learning accuracy logistic-regression model-predictions adaboost udacity-machine-learning-nanodegree knn-classification model-fitting f-score
-
Updated
Jul 14, 2017 - HTML
Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
python nlp machine-learning numpy sklearn exploratory-data-analysis pandas seaborn spacy wordcloud nltk accuracy matplotlib spellchecker huggingface extractive-question-answering
-
Updated
Nov 7, 2023 - HTML
Improve this page
Add a description, image, and links to the accuracy topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the accuracy topic, visit your repo's landing page and select "manage topics."