GitHub topics: confusion-matrix
Jakub-Espandr/MetriCalc
A modern, cross-platform desktop app for calculating classification metrics from confusion matrices. Includes XLSX export, real-time language switching, and batch processing with responsive UI.
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muhammadmutahir/CreditRiskModel_CRA_using_XGBoost_Neural_Network_Random_Forest_Regression_Sourav_Basu
This repository contains a credit risk analytics project that uses logistic regression, decision trees, and various data analysis techniques. Explore the code and resources in Jupyter Notebook format to understand the model's performance and insights. 🐱💻📊
Language: Jupyter Notebook - Size: 522 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
naveenk-DS/Microsoft_classification
🛡️ Microsoft - Classifying Cybersecurity Incidents This project focuses on classifying cybersecurity incidents using machine learning techniques. The goal is to build a model that can identify the type of incident based on input features, helping security teams respond more effectively.
Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
gabor-gabor/III.-Data-Science-Competition
Boosting business performance with user behavior insights from TELEPROMPTER LLC.
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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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Thogaruchesti-hemanth/handwrittten-digit-recognition
A deep learning project using CNN to recognize handwritten digits (0–9). Includes data normalization, model training, accuracy/loss visualization, and evaluation using confusion matrix and classification report.
Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0
imildositoe/car_pedestrian_lidar_data_processing
Object detection, classification, and tracking using LiDAR data collected by a Blickfeld Cube 1 sensor.
Language: Python - Size: 18.6 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0
HangOn6/CreditRiskModel_CRA_using_XGBoost_Neural_Network_Random_Forest_Regression_Sourav_Basu
Improving credit risk model using Machine learning techniques. We use a host of ml models and neural network to solve the issue.
Language: Jupyter Notebook - Size: 533 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
suhastr/Machine_Generated_Code_Detection
Code Detection Project
Language: Python - Size: 104 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
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
Language: Jupyter Notebook - Size: 21.2 MB - Last synced at: 7 days ago - Pushed at: 7 days 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: 4.31 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
SercanTeyhani/obesity-test
A machine learning pipeline to classify obesity levels from structured health and habit data using Python, scikit-learn, and Streamlit.
Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0
sepandhaghighi/pycm
Multi-class confusion matrix library in Python
Language: Python - Size: 11.5 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1,477 - Forks: 125
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
Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: about 14 hours ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
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: 7 days ago - Pushed at: 2 months ago - Stars: 534 - Forks: 155
apple/ml-hierarchical-confusion-matrix
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
Language: TypeScript - Size: 1.89 MB - Last synced at: 4 days ago - Pushed at: 22 days ago - Stars: 310 - Forks: 33
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
Language: Jupyter Notebook - Size: 420 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
Razvan48/Proiect-Natural-Language-Processing-NLP
Proiect Natural Language Processing (NLP) Anul 3, Semestrul 2, Facultatea de Matematica si Informatica, Universitatea din Bucuresti
Language: Jupyter Notebook - Size: 132 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
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. 🦠📈
Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
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. 🛠️📱
Language: Jupyter Notebook - Size: 677 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
SaketJha-323/Mobile_Phone_Pricing_Prediction_System
Mobile
Language: Jupyter Notebook - Size: 674 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Hords01/multi-model-evaluator
Multi Model Classification
Language: Python - Size: 1.68 GB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ewdlop/Data-Mining
Basic Data Mining Analysis in R.
Language: R - Size: 2.5 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 431 KB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 5.66 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
KasrAskari/Spam-Classification
Classifies SMS messages as spam or non-spam using machine learning
Language: Jupyter Notebook - Size: 422 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
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 2 months ago - Pushed at: about 2 months 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.
Language: Jupyter Notebook - Size: 763 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 92.8 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
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 🚫.
Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: 16 days ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0
alvinadar/Logistics-Regression
Implementation of logistics regression for Student pass fail and HR Retention analysis
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
SedatDikbas/traditional-machine-learning
Geleneksel Makine Öğrenmesi Yöntemleri ile Çalışmalarım
Language: Jupyter Notebook - Size: 339 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0
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.
Language: Jupyter Notebook - Size: 773 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
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.
Language: MATLAB - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
TheDataTenno/Churn-Prediction
A machine learning project to predict customer churn using classification models with SMOTE and hyperparameter tuning."
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
cheind/tf-matplotlib
Seamlessly integrate matplotlib figures as tensorflow summaries.
Language: Python - Size: 2.83 MB - Last synced at: 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.
Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1
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.
Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Yusuf-Abol/NEOCLARA-II
This project focuses on evaluating different classification models for detecting and analyzing the risk of near-Earth objects (NEOs). The models are assessed using key metrics such as Confusion Matrix, Recall, AUC-ROC, and PR-AUC to understand their performance in distinguishing between the two classes (risky vs. non-risky NEOs).
Size: 6.84 KB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
nofaralfasi/Machine-Learning-Divorce-Prediction
A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.
Language: Jupyter Notebook - Size: 2.82 MB - Last synced at: 16 days ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0
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.
Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
miguelTavora/Machine-Learning 📦
Predict IMDB ratings based on the review given by the users
Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
fs23yayan/MiniProject-ConfusionMatrix
MiniProject-ConfusionMatrix for Metrik Penting pada Algoritma CART
Language: Python - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 905 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
gyselle-marques/CalculoDeMetricas-DesafioDIO
Machine Learning: Cálculo de Métricas de Avaliação de Aprendizado em Python.
Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 2
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: about 1 month 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.
Language: Jupyter Notebook - Size: 213 KB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
yoloioloi/ConnectTel-Churn-Prediction
Customer Churn Prediction: Unlocking Retention Strategies with Data Science
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Vishalchau2003/Heart-disease-prediction-using-machine-learning
Using machine learning we will develop a predictive model to predict heart disease
Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
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.
Language: Jupyter Notebook - Size: 7.82 MB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Judiciousmurich/confusion-matrix-plot
Multiclass confusion matrix visualization
Language: Jupyter Notebook - Size: 180 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
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
Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
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: 22 days ago - Pushed at: 4 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.
Language: Jupyter Notebook - Size: 85.3 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 2
metriculous-ml/metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
Language: Python - Size: 3.54 MB - Last synced at: 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: 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: 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
Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
VivekSagarSingh/Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1
jamesehiabhi/Blossom-Bank-Fraud_Detection
AI and ML Models for Secure Digital Transactions at Blossom Bank
Language: Jupyter Notebook - Size: 4.8 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
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.
Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
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: 16 days ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3
BenjiKazzooe/Brustkrebs_Vorhersage
Brustkrebs-Diagnose mit ML
Size: 5.86 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
bsap16/risco_relativo
Um banco solicitou que fosse automatizado o processo de aprovação de empréstimos dos clientes.
Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
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: 3 months ago - Pushed at: 5 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: 3 months ago - Pushed at: 5 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.
Language: Jupyter Notebook - Size: 303 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1
OmidGhadami95/EfficientNetV2B0---PlantVillage
Plant disease detection on PlantVillage dataset using EfficientNetV2-B0
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1
LKEthridge/Supervised_Learning
Supervised Learning project from TripleTen
Language: Jupyter Notebook - Size: 324 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
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: 2 months ago - Pushed at: 11 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 2 months 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
Language: Jupyter Notebook - Size: 554 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
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: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
nlacey111/Machine-Learning
Machine Learning projects from undergrad.
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
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: 3 months ago - Pushed at: 6 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! 🌟"
Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 6.72 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
statsim/confusionmatrix
Generate Confusion Matrix and Evaluation Metrics Online
Language: HTML - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 6 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: 3 months ago - Pushed at: 6 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.
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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.
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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: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
pranava007/AI_ML_CKD_ClassificationGridCV
Classification GridCV
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pranava007/AI_ML_Logistic_Regression_Classification
LogisticRegression Classification
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pranava007/AI_ML_Decision_Tree_Classification
Decision Tree Classification
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pranava007/AI_ML_Random_Forest_Classification
Random Forset classfication
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FedeCana00/Bankruptcy-prediction
Accurately predicting companies' future failure with Python.
Language: Python - Size: 4.92 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
thimyxuan/spam-messages-detector
A spam message detector
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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.
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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.
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Mugambi645/wine-quality-classifier
Wine quality prediction with xgboost library
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