Projects in Awesome Lists tagged with modelevaluation
A curated list of projects in awesome lists tagged with modelevaluation .
https://github.com/jigyasag18/sonar-rock-vs-mine-prediction-ml-project
This repository contains a machine learning project that classifies SONAR reading data to distinguish between rocks and mines. It implements various classification models,evaluates their performance,and features a user-friendly web application deployed with Streamlit for real-time predictions. The project is aimed to help in safe marine operations.
classification data dataset machine-learning machine-learning-algorithms machinelearning machinelearning-python machinelearningmodel machinelearningproject machinelearningprojects modelevaluation modeltraining prediction-model streamlit streamlit-webapp
Last synced: 18 May 2026
https://github.com/ranxi2001/cremodeva
BC4AI：Blockchain Used to Guarantee Credibility of AI Model Evaluations;利用区块链来保证算法模型的真实性
ai blockchain credibility deep-learning machine-learning modelevaluation
Last synced: 21 May 2026
https://github.com/avijit-jana/seqflipattention
SeqFlipAttention is a forward‑looking PyTorch demonstration of sequence‑to‑sequence learning enhanced by attention, trained on a synthetic reverse‑sequence task and complete with training scripts, loss and accuracy visualizations, and a quantitative analysis of attention’s impact on performance.
attention-mechanism deep-learning deeplearning machine-learning machine-translation model-evaluation modelevaluation natural-language-processing nlp python pytorch seq2seq synthetic-data syntheticdata text-generation
Last synced: 10 May 2026
https://github.com/krisharul26/sentiments-classifier-using-bert
The process of computationally identifying and categorizing opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Understanding people’s emotions is essential for businesses since customers are able to express their thoughts and feelings more openly than ever before. By automatically analysing customer feedback, from survey responses to social media conversations, brands are able to listen attentively to their customers, and tailor products and services to meet their needs.
bert-embeddings bert-model deep-learning machine-learning modelevaluation natural-language-processing nlp sentiment-analysis softmax-layer transfer-learning transformers
Last synced: 20 Jun 2025
https://github.com/abhinavsharma07/hand_gesture_recognition-deep_learning
The objective of this project is to recognize hand gestures using state-of-the-art neural networks.
cnn deep-learning keras lstm modelevaluation recurrent-neural-networks rnn tensorflow
Last synced: 12 Feb 2026
https://github.com/mishaa931/truth-guard
This repository contains code for evaluating different machine learning models for classifying fake news. The dataset used for this evaluation consists of labeled news articles as either "REAL" or "FAKE". Three popular classifiers, Support Vector Machine (SVM), Decision Tree, and Logistic Regression, are trained and evaluated on this dataset.
confusionmatrix datavisualization decisiontree fakenewsdataset logisticsregression modelevaluation nlp svm
Last synced: 05 Jun 2026
https://github.com/jimmymugendi/titanic-survival-prediction-using-machine-learning
An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.
deployment-tools machine-learning modelevaluation modeltraining pandas-python plots seaborn
Last synced: 06 May 2026
https://github.com/rahulvictor12/german-bank-loan-defaulter-prediction
A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.
accuracy ada-boost-classifier bagging categorical-encoding data-processing exploratory-data-analysis f1-score gbm gridsearchcv hyperparameter-tuning machine-learning missing-value-handling modelevaluation precision random-forest randomsearch-cv recall xgboost
Last synced: 06 Jun 2026
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 13 Apr 2026
https://github.com/aiaaee/gold-price-prediction
Prediction Of Gold Rates Using ML Techniques
data-engineering data-mining data-visualization dataexploration machine-learning machine-learning-algorithms machine-learning-models modelevaluation random-forest randomforestregressor
Last synced: 16 Jun 2026
https://github.com/projects-developer/heart-disease-prediction-using-machine-learning
A predictive analytics project leveraging machine learning algorithms to forecast the likelihood of heart disease in patients. Heart Disease Prediction Using Machine Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
btechprojects classificationalgorithms computer-science-projects computerscienceprojects datamining featureengineering final-year-projects finalyearprojects healthcare heartdiseaseprediction machinelearning medicaldiagnosis modelevaluation mtechprojects predictiveanalytics riskassessment
Last synced: 15 Jun 2026
https://github.com/batthulavinay/basic-linear-regression
This project demonstrates Basic Linear Regression using Python. The notebook includes dataset loading, exploratory data analysis, model training, evaluation, and visualization of results.
data-visualization datapreprocessing exploratory-data-analysis linear-regression matplotlib modelevaluation pandas-library
Last synced: 13 Apr 2025
https://github.com/sridharyadav07/image_segmentation-for-disaster-resilience
Image Segmentation for Disaster Resilience is a deep learning project developed for the FloodNet Challenge, focused on leveraging semantic segmentation to assist in flood impact analysis. Using a U-Net architecture, the model segments aerial imagery to detect key features such as flooded buildings, roads, water bodies, vegetation, and more.
datapreprocessing jupyter-notebook matplotlib-pyplot modelevaluation opencv patching pil python pytorch streamlit visualization
Last synced: 12 Apr 2026
https://github.com/ngangawairimu/regression-model-for-predicting-house-prices
This project focuses on applying statistical modeling techniques to predict house prices in Melbourne using the Melbourne House Price dataset. It involves data cleaning, exploratory data analysis (EDA), feature selection, and fitting a regression model to predict the target variable, which is the house price.
datacleaning dataprocessing explanatory-data-analysis modelevaluation modelinterpretability regression-analysis
Last synced: 28 Mar 2025
https://github.com/batthulavinay/house-price-prediction
This project aims to analyze and predict house prices based on various features such as location, size, and amenities. The dataset is processed and explored using Python, and machine learning models are applied to generate accurate price predictions.
datacleaning datapreprocessing exploratory-data-analysis feature-engineering linear-regression modelevaluation performance-metrics random-forest xgboost
Last synced: 14 Oct 2025
https://github.com/sarahloree/project-2--bank-loan-marketing-model
This is the second project I completed as part of the Machine Learning Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.
business-analytics data-engineering decision-tree-classifier decision-trees eda modelbuilding modelevaluation performance-analysis performance-metrics performancemonitoring preprocessing-data
Last synced: 17 Oct 2025
https://github.com/tejaswirupa/early-prediction-of-diabetes-risk-using-machine-learning
Built a predictive model using CDC health data to identify individuals at risk of developing diabetes. Achieved 90.6% F1-score using Logistic Regression and revealed key health indicators like BMI and blood pressure as top predictors.
data-science datacleaning exploratory-data-analysis modelevaluation preprocessing-data python scikit-learn supervised-machine-learning
Last synced: 15 Jul 2025
