GitHub topics: confusion-matrix
sun-vonxu/emotion-detection-nlp
# Emotion Detection from Text using NLP## 📘 Project OverviewThis project uses Natural Language Processing to detect emotions like joy, sadness, anger, and fear from text. It compares traditional machine learning and deep learning models, ensuring robust evaluation. ## Objectives- Build a strong emotion classifier using public datasets.- Anal
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apple/ml-hierarchical-confusion-matrix
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
Language: TypeScript - Size: 1.89 MB - Last synced at: about 18 hours ago - Pushed at: 1 day ago - Stars: 310 - Forks: 32
vyasdeepti/User-Purchase-Decision-using-Decision-Tree
This notebook demonstrates a complete machine learning workflow using a Decision Tree Classifier to predict user purchase decisions based on social network advertisements. The project illustrates each stage of the pipeline: data import, preprocessing, exploratory data analysis, model training, evaluation, and practical interpretation of the results
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jaydenth/Churn-Prediction
This is a School assignment, on churn prediction using scikit learn and traditional ML models
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Razvan48/Proiect-Natural-Language-Processing-NLP
Proiect Natural Language Processing (NLP) Anul 3, Semestrul 2, Facultatea de Matematica si Informatica, Universitatea din Bucuresti
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zach10w/IA-Classification-Analysis
This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.
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sepandhaghighi/pycm
Multi-class confusion matrix library in Python
Language: Python - Size: 11.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1,476 - Forks: 126
362heavy/Liver_Cirrhosis_Stage_Detection_System
This repository contains a system for detecting the stage of liver cirrhosis using historical patient data. It employs machine learning to analyze key medical indicators and classify patients into three distinct stages. 🦠📈
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mahaseva/Mobile_Phone_Pricing_Prediction_System
# Mobile Phone Pricing Prediction SystemThis project predicts the price range of mobile phones based on their specifications. Using a dataset with features like battery power and RAM, we classify phones into four price categories. 🛠️📱
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SaketJha-323/Mobile_Phone_Pricing_Prediction_System
Mobile
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Hords01/multi-model-evaluator
Multi Model Classification
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ewdlop/Data-Mining
Basic Data Mining Analysis in R.
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wcipriano/pretty-print-confusion-matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Language: Python - Size: 725 KB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 532 - Forks: 155
suryadipbera1256/Epileptic-Seizure-Recognition
Machine learning techniques are increasingly applied in the classification of drugs based on biomarkers related to epileptic seizures. Various studies highlight the use of deep learning and other machine learning models to enhance seizure detection and classification from EEG data.
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maladoi777/breast-cancer-prediction-app
A Streamlit web application for breast cancer prediction using logistic regression. Users can input key tumor features to receive real-time prediction and confidence scores based on the Breast Cancer Wisconsin Diagnostic Dataset.
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mohamed554/Why-accuracy-may-be-delusional-
An exploration of why using raw accuracy for model evaluation can be misleading, with alternative metric.
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JamesCWeber/BCG-X-Data-Science-Project-Part-3-Churn-Prediction
The last task given to me while completing the BCG X Data Science microinternship. Create a Random Forest model using data from part 2. The model will predict which customers will churn and what features are influential to customer's decision to churn.
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KasrAskari/Spam-Classification
Classifies SMS messages as spam or non-spam using machine learning
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abdulwaheedal/Abdul_Waheed_CSE7_MalwareDetectionCNN
This repository contains the code and resources for a malware classification model using CNN. Key files include the CNN model (cnn_model.py), evaluation scripts, and outputs such as accuracy/loss plots, confusion matrix, and ROC curves. The project is licensed under the MIT License.
Language: Python - Size: 506 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Judiciousmurich/chest-xray-ai-classifier
A deep learning model to classify chest X-ray images into three categories: Normal, COVID-19, and Pneumonia.
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Vieira-Marola/Spam_Detection
This project focuses on detecting spam emails using a machine learning approach. Based on a dataset with word frequencies and special character occurrences, the model classifies emails as either spam or non-spam.
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alvinadar/Logistics-Regression
Implementation of logistics regression for Student pass fail and HR Retention analysis
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surendiran-20cl/Credit_Score_Classification
Developed a multiclass classification system using supervised learning to predict credit score tiers from financial data. Applied EDA, feature engineering, hyperparameter tuning, and evaluated models using ROC-AUC, confusion matrices, and feature importance.
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farshad257/NLP_IMDB
A simple Bernoulli Naive Bayes model achieved 94% accuracy on the IMDB sentiment analysis task. Despite its simplicity, it performed exceptionally well.
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sergio11/spam_email_classifier_lstm
This project uses a Bi-directional LSTM model 📧🤖 to classify emails as spam or legitimate, utilizing NLP techniques like tokenization, padding, and stopword removal. It aims to create an effective email classifier 💻📊 while addressing overfitting with strategies like early stopping 🚫.
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SedatDikbas/traditional-machine-learning
Geleneksel Makine Öğrenmesi Yöntemleri ile Çalışmalarım
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sushant1827/Machine-Learning-for-Predictive-Maintenance
Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.
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mkhekare/titanic_ml
Predict the survival of passengers aboard the Titanic using various features from the dataset. The data includes information about passengers such as age, gender, ticket class, and more.
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Joanna20Carrion/Reconocimiento-de-Voz-con-Redes-Neuronales-y-Transformada-Wavelet
Implementa un sistema de reconocimiento de voz capaz de identificar comandos básicos utilizando redes neuronales y análisis de señales basado en la transformada wavelet.
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nadhif-royal/ModelComparisonML
In this project, I compare several commonly used machine learning models, namely K-Nearest Neighbors (KNN), Kernel SVM, Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest. I evaluate and compare the performance and accuracy of these models using a breast cancer dataset, and get the confusion matrix and accuracy score.
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TheDataTenno/Churn-Prediction
A machine learning project to predict customer churn using classification models with SMOTE and hyperparameter tuning."
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KhushiRajurkar/Exoplanet-Habitability-Prediction-Model
Predicts whether an exoplanet is habitable using ML. Handles class imbalance with ADASYN, tests multiple models, and saves the best one. Includes confusion matrices, ROC curves, and a clean Jupyter notebook
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cheind/tf-matplotlib
Seamlessly integrate matplotlib figures as tensorflow summaries.
Language: Python - Size: 2.83 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 120 - Forks: 17
KasiMuthuveerappan/LoanTap-LogisticRegression
📔 This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.
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T4vexx/IA-Classification-Analysis
This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.
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venkat-0706/Titanic-Survival-Prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
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miguelTavora/Machine-Learning 📦
Predict IMDB ratings based on the review given by the users
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fs23yayan/MiniProject-ConfusionMatrix
MiniProject-ConfusionMatrix for Metrik Penting pada Algoritma CART
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vinothvk99/Bank-Marketing-Campaign-Prediction
Predicting the success of bank marketing campaigns using machine learning models (Random Forest, XGBoost) on customer and economic data. The project includes data preprocessing, model training, and evaluation with accuracy and ROC-AUC scores.
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gyselle-marques/CalculoDeMetricas-DesafioDIO
Machine Learning: Cálculo de Métricas de Avaliação de Aprendizado em Python.
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labrijisaad/Twitter-Sentiment-Analysis-with-Python
I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.
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PENGZhaoqing/kdd99-scikit
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
Language: Python - Size: 6.42 MB - Last synced at: 20 days ago - Pushed at: about 8 years ago - Stars: 58 - Forks: 22
Lakshyakumar1603/Disease_Result_Prediction_ML
This is Disease Result Prediction is a ML based Technology project. In this we have to work on label dataset i.e. supervised learning & Target Variable is the Catogery so it is Classification Category Project. To Predict the Disease is positive or not ,given inputs by the users.
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yoloioloi/ConnectTel-Churn-Prediction
Customer Churn Prediction: Unlocking Retention Strategies with Data Science
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Vishalchau2003/Heart-disease-prediction-using-machine-learning
Using machine learning we will develop a predictive model to predict heart disease
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ArtZaragozaGitHub/CV--P5_Plants_Seedling_Classification
A robust image classifier using CNNs to efficiently classify different plant seedlings and weeds to improve crop yields and minimize the extensive human effort to do this manually.
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ArtZaragozaGitHub/NLP--P6_Sentiment_Analysis_and_Summarization_of_Stock_News
Natural Language Processing AI-model driven sentiment analysis system that will automatically process and analyze news articles to gauge market sentiment, and summarizing the news at a weekly level to enhance the accuracy of their stock price predictions and optimize investment strategies.
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Judiciousmurich/confusion-matrix-plot
Multiclass confusion matrix visualization
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SridharYadav07/Code_Alpha-_Task-4
This project demonstrates the typical steps in a machine learning pipeline from data preprocessing and cleaning to training a model and evaluation its performance. The use of Random Forest is appropriate here given the complexity of the dataset, and with further tuning and improvements, this model could be used to make accurate predictions on heart
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Prishabhanot/Skin_Cancer_Classification_Model
Classifies 7 types of skin cancer lesions using a deep learning CNN model. Processes and balances the dataset, trains the model, and evaluates its accuracy with visualizations.
Language: Python - Size: 93.8 KB - Last synced at: about 20 hours ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
SatvikPraveen/FashionMNIST-Analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
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metriculous-ml/metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
Language: Python - Size: 3.54 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 97 - Forks: 11
Altimis/Confusion-matrix-for-Mask-R-CNN
Confusion matrix for Mask R-CNN (Matterport implementation)
Language: Jupyter Notebook - Size: 857 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 16
BatthulaVinay/phone-usage-analysis
This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.
Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
jamesehiabhi/ConnectTel-Churn-Prediction
Customer Churn Prediction: Unlocking Retention Strategies with Data Science
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VivekSagarSingh/Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
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jamesehiabhi/Blossom-Bank-Fraud_Detection
AI and ML Models for Secure Digital Transactions at Blossom Bank
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Fraggle460/Data-Mining-
These are a series of data mining workshops using Jupyter Notebook v 7.0.8 running on Python 3.12.4 programming language.
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sushant1827/Human-Activity-Recognition-with-Smartphones
Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3
BenjiKazzooe/Brustkrebs_Vorhersage
Brustkrebs-Diagnose mit ML
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bsap16/risco_relativo
Um banco solicitou que fosse automatizado o processo de aprovação de empréstimos dos clientes.
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Netesh5/flutter_confusion_matrix
A Flutter package for creating and visualizing Confusion Matrixes with a customizable heatmap. This package is ideal for machine learning and data analysis applications where a visual representation of prediction accuracy is required.
Language: C++ - Size: 360 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
abhishekpsonawane07/Loan-Repayment-Prediction-ML
Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.
Language: Jupyter Notebook - Size: 761 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
chandadiya2004/mnist-digit-classification
This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.
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OmidGhadami95/EfficientNetV2B0---PlantVillage
Plant disease detection on PlantVillage dataset using EfficientNetV2-B0
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1
LKEthridge/Supervised_Learning
Supervised Learning project from TripleTen
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imharshag/Fake-news-Detection-using-ML
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Language: Python - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 8 - Forks: 0
gerardo-lijs/MLUtils
Machine learning utilities for .NET. Confusion matrix, intersection over union, etc.
Language: C# - Size: 35.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
Ansh2709/DL-Project
Project basically predicts the digit from(0-9) after training on a particular dataset using CNN
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amancore/Twitter-Sentiment-Analysis
A machine learning project using RNN and LSTM to classify tweets into positive, neutral, and negative sentiments. Includes data preprocessing, model training, and deployment for public access.
Language: Jupyter Notebook - Size: 159 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
nlacey111/Machine-Learning
Machine Learning projects from undergrad.
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shoaib1522/Introduction-to-Data-Science
Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻
Language: Jupyter Notebook - Size: 119 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
shoaib1522/Data-Science-In-Python
"Unlock the power of data science with my curated collection of Python projects—your gateway to insights, analysis, and hands-on learning! 🌟"
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emorya/PINC-projects-
This repository shows all of my Jupyter Notebook or Google CoLab projects. Through the Promoting Inclusivity in Computing program at San Francisco State, I have learned many coding skills. These include, Interdisciplinary Python Biological Applications, Data Structures, and now Machine Learning.
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statsim/confusionmatrix
Generate Confusion Matrix and Evaluation Metrics Online
Language: HTML - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Shah-Afraz411/CNN-Gemstones-classification--128-128-images
CNN-Gemstones-classification--128*128-images
Language: Jupyter Notebook - Size: 193 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
gulcihanglmz/pattern-recognition-final-project
🔹This project uses the CNN model to classify fruits as either fresh or rotten based on their images. It provides a solution for assessing fruit quality in agriculture, markets, and the food industry.
Language: Jupyter Notebook - Size: 396 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
priyanka7411/fake-news-detector-streamlit
This project aims to detect fake news using machine learning techniques. It utilizes a machine learning model that classifies news articles as real or fake based on their content.
Language: Jupyter Notebook - Size: 4.57 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
Shlok-Nahar/mnist-cnn-classifier
This repository trains and evaluates three CNN models on MNIST, providing performance comparisons and 5 unique visualizations.
Language: Python - Size: 36.6 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
pranava007/AI_ML_CKD_ClassificationGridCV
Classification GridCV
Language: Jupyter Notebook - Size: 609 KB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
pranava007/AI_ML_Logistic_Regression_Classification
LogisticRegression Classification
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
pranava007/AI_ML_Decision_Tree_Classification
Decision Tree Classification
Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
pranava007/AI_ML_Random_Forest_Classification
Random Forset classfication
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
FedeCana00/Bankruptcy-prediction
Accurately predicting companies' future failure with Python.
Language: Python - Size: 4.92 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
thimyxuan/spam-messages-detector
A spam message detector
Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
KrishArul26/Defect-detection-in-Air-Pressure-system-APS-of-a-truck-using-ML
The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.
Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
vijaykumarr1452/Black_Friday_Sales_Analysis
Black Friday Sales Analysis python machine learning project using pandas and scikit-learn for data preprocessing, model training, and performance evaluation.
Language: Jupyter Notebook - Size: 7.2 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
mar19a/KnowledgeIsPower
Knowledge Is Power is a data analysis and prediction tool leveraging U.S. Census data to provide insights into societal topics. Utilizing machine learning, specifically MATLAB's classification learner, the project predicts educational attainment based on income and offers interactive visualizations of veterans' data.
Language: MATLAB - Size: 2.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
Mugambi645/wine-quality-classifier
Wine quality prediction with xgboost library
Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
kuixu/pytorch_online_plotter
Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
Language: Python - Size: 88.9 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 17 - Forks: 4
santi-souza/stroke-eda-ml
Stroke: Statistical analysis of risk factors and creation of predictive models using machine learning
Language: R - Size: 1020 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
imratnesh/alteryx
Machine laearning using Alteryx tool. Udacity
Size: 2.86 MB - Last synced at: 17 days ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 1
hollobit/ML_evaluation_metrics
Landscape of ML/DL performance evaluation metrics
Size: 687 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 3
squaredev-io/whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Language: Python - Size: 21.2 MB - Last synced at: 27 days ago - Pushed at: almost 2 years ago - Stars: 183 - Forks: 5
dpgitaccount/Project---Hospital-Readmission-Analysis
The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
shivamkumar818/MBTI-Personality-Prediction-from-Text-Data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
Language: Jupyter Notebook - Size: 25 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
fayzi-dev/scikit_learn
scikit_learn
Language: Python - Size: 58.6 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
ZunainAliAzam/Medical-Data-NER-with-BERT
This project leverages BERT for Named Entity Recognition (NER) on a medical dataset. The notebook provides a step-by-step guide, from dataset preparation to fine-tuning and saving the trained model for medical NER tasks.
Language: Jupyter Notebook - Size: 210 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
kmock930/Texture-Image-Comparison
This project aims to build a model which classifies the type of an unseen image as accurate as possible, by implementing, evaluating, and comparing amongst 2 different multi-layer perceptron Neural Networks.
Language: Jupyter Notebook - Size: 205 MB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Priyanshiguptaaa/20_Newsgroups_text_classification
Built a Multinomial Naïve Bayes classifier and compared the results with the built-in classifier in Sklearn. Developed a classifier with accuracy 82%.
Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
