Ahmad098777/dat

🔍 Audit source code with Dev Audit Tool (DAT) for security, compliance, and quality, ensuring robust development workflows across multiple platforms.

Language: Python - Size: 2.17 MB - Last synced at: about 5 hours ago - Pushed at: about 6 hours ago - Stars: 0 - Forks: 0

1234567Yang/AIResultSummaryTemplate

A streamlined and easy-to-use AI performance evaluation / summary template with modern UI in HTML, including correct percentage chart and comparison with other models, precision, recall, F1-score, and confusion matrix. Enables you to create the result chart within 3 minutes.

Language: JavaScript - Size: 506 KB - Last synced at: about 8 hours ago - Pushed at: about 9 hours ago - Stars: 0 - Forks: 0

vicky999jeevi/AI-Code-Explainer-Optimizer

🧩 Optimize and explain code effortlessly with our AI-driven multi-agent system, using LangGraph and Gemini for efficient solutions.

Language: Python - Size: 7.02 MB - Last synced at: about 15 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

rohitchougale543/amanansdiahnid-8

🚀 Simplify your coding tasks with amanansdiahnid-8, a versatile toolkit designed for efficient development and streamlined workflows.

Size: 1.29 MB - Last synced at: about 15 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

arthur1258/DeepSeek-V3.2-Exp

🔍 Explore and enhance deep learning models with DeepSeek-V3.2-Exp, your go-to tool for streamlined data analysis and advanced AI insights.

Language: Python - Size: 1.88 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

ASLAM-04/amanansdiahnid-8

🚀 Streamline your workflow with amanansdiahnid-8, a tool designed to enhance productivity and simplify your tasks effortlessly.

Size: 1.29 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

AbhinavSharma07/Kaggle-Comp.

A repository showcasing solutions to Kaggle competitions with end-to-end workflows in machine learning and data science.

Language: Jupyter Notebook - Size: 54.3 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 1

DhLYa/pfm-robustness-toolkit

Robustness evaluation for computational pathology at patch level: fixed parameter tests, perturbation sweeps and NR K-fold distribution shift.

Size: 1.95 KB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

debiai/DebiAI

Bias detection and contextual evaluation tool for your AI projects

Language: Vue - Size: 15 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 29 - Forks: 5

hongping-zh/circular-bias-detection

a comprehensive statistical framework for detecting circular reasoning bias in AI algorithm evaluation

Language: Python - Size: 4.75 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Sikukhayatinamuna/ml-ccg

🤖 Enhance machine learning with CCG for improved performance and simplified model building in your AI projects.

Size: 1.29 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

dlidgett/AD-DINOv3

🔍 Enhance anomaly detection with AD-DINOv3, a framework adapting DINOv3 for zero-shot scenarios through advanced calibration techniques.

Language: HTML - Size: 6.94 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Sahilrajveer/reasonbench

📊 Evaluate machine learning models with realistic benchmarks that offer a true measure of performance against standard predictors.

Size: 53.7 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

SverreStroobants/ml-ccg

🤖 Simplify natural language processing with this flexible, context-free grammar model designed for machine learning applications.

Size: 1.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

kumar-O/Customer-Churn-Prediction

🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.

Language: Python - Size: 1.59 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

subash12345679-png/RentalPrice-ML-Modeling

📊 Predict apartment rental prices in Tel Aviv using machine learning models, featuring Elastic Net and Decision Trees for accurate forecasting.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

HKati/pulse-release-gates-0.1

PULSE: deterministic release gates for AI safety

Language: Python - Size: 832 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

RafaelParonis/jailbench

🔍 Benchmark jailbreak resilience in LLMs with JailBench for clear insights and improved model defenses against jailbreak attempts.

Language: Python - Size: 938 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 2

shridhar1504/Sales-Forecasting-Datascience-Project

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 7

YahyaBalikci/Comparison_ML_Regression_Models

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

otavioshiro/AI-Gamble

🎲 Create dynamic interactive stories with AI, offering unique plots, characters, and visual story maps based on player choices for an immersive experience.

Language: HTML - Size: 4.73 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

JavedFazlulahF/Customer-Churn-Prediction

📊 Predict customer churn in telecom using machine learning to enhance retention strategies and drive better business outcomes.

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

andalusia205091/aie-book

🤖 Explore AI Engineering with resources, chapter summaries, and tools to effectively adapt foundation models for real-world applications.

Language: Jupyter Notebook - Size: 6.05 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

precioussak/scikit-learn-is-what-you-dont-need

🔍 Discover why scikit-learn may not meet your needs and explore better alternatives for your machine learning projects.

Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

osamaGXD/InstructX

🖌️ Enhance visual editing with InstructX, leveraging MLLM guidance for unified and efficient creation. Explore innovative techniques in your projects.

Size: 8.79 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

nufreeman/heart-disease-ml-practice

❤️ Predict heart disease risk using classic machine learning techniques with this Jupyter notebook project, featuring data exploration and model building.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

indu-explores-data/Car-Price-Prediction

A machine learning project that predicts car prices using ensemble models — Random Forest and Gradient Boosting. Includes data preprocessing, feature importance analysis, and model comparison using MAE, RMSE, and R² metrics to evaluate and optimize predictive performance.

Language: Jupyter Notebook - Size: 627 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

adityavishkarma491/aie-book

🤖 Explore AI Engineering through this book and resources that guide you in applying foundation models to real-world challenges effectively.

Language: Jupyter Notebook - Size: 6.04 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 1

ACCESS-NRI/ACCESS-Analysis-Conda Fork of coecms/cms-conda-singularity

A repository for the squashfs'd MED conda environments

Language: Shell - Size: 922 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1

metno/pyaerocom

Python tools for climate and air quality model evaluation

Language: Python - Size: 116 MB - Last synced at: 4 days ago - Pushed at: 6 days ago - Stars: 30 - Forks: 15

XEAM46/Sora2-Prompt-Tests

🎨 Compare Sora2 and Veo3 prompts through creative tests, showcasing unique strengths in image quality, style, and narrative effectiveness.

Size: 1.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ACCESS-NRI/ACCESS-MOPPy

ACCESS-MOPPy

Language: Python - Size: 186 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Jagatmohan46/tiny-recursive-model

🚀 Implement the Tiny Recursive Model (TRM) for improved performance in recursive tasks, building on the HRM framework by Sapient AI.

Language: Python - Size: 29.3 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

tox47/Sora2-Prompt

🎬 Discover 100 curated text-to-video prompts for OpenAI's Sora 2 AI model, showcasing its ability to create high-quality videos from your text inputs.

Language: Python - Size: 1.35 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 0

gtank127/ChurnShield-Customer-Retention-Predictor

📊 Predict customer churn with this ML model, enhancing retention strategies through accurate predictions and effective data analysis.

Size: 1.29 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

chriscowncrow/TinyRecursiveModels

🔍 Explore recursive reasoning with TinyRecursiveModels, a compact 7M parameter neural network achieving high scores on tough tasks without massive resources.

Language: Python - Size: 1.19 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ACCESS-NRI/ACCESS-MED-tools

MED Utilities

Language: Python - Size: 129 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

donishadsmith/vswift

A R package for evaluating ML classification models.

Language: R - Size: 1.02 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

aryan-programmer/pcb-fault-detection

Modelling & Training for a AI-Driven PCB Fault Detection project.

Language: Jupyter Notebook - Size: 193 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

DionWhat/KoVidore-benchmark

📄 Evaluate text-to-image retrieval models with the KoVidore benchmark for Korean visual documents, featuring diverse tasks tailored for business and academia.

Language: Python - Size: 6.34 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

ACCESS-NRI/access-nri-intake-catalog

Tools and configuration info used to manage ACCESS-NRI's intake catalogue

Language: Python - Size: 210 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 11 - Forks: 3

ashbix23/Numpy-Native-Regression-Toolkit

Algorithmic implementation of Multivariate Linear Regression built entirely with NumPy, featuring Ridge (L2) Regularization and Early Stopping via Batch Gradient Descent. Includes a robust preprocessing pipeline, comprehensive evaluation metrics, and performance benchmarking against Scikit-learn on the California Housing dataset.

Language: Jupyter Notebook - Size: 704 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 1

labex-labs/sklearn-practice-challenges

This course contains lots of challenges for Sklearn, each challenge is a small Sklearn project with detailed instructions and solutions. You can practice your Sklearn skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.

Size: 64.5 KB - Last synced at: 5 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

Venkat-023/Heart_Risk_Analysis-Predction

🫀 Heart Disease Risk Prediction This project focuses on predicting the risk of heart disease using machine learning techniques. It includes thorough Exploratory Data Analysis (EDA), dimensionality reduction using Principal Component Analysis (PCA), model training, evaluation, and visualization of the results

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

donat-konan33/concealed-object-detection

This repository focuses on detecting concealed objects using terahertz imaging and deep learning, specifically leveraging the YOLOv8 architecture from Ultralytics. The project aims to provide accurate and efficient object detection for security and screening applications by utilizing a specialized terahertz imaging dataset for robust detection.

Language: Jupyter Notebook - Size: 44.9 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

AmirhosseinHonardoust/Fraud-Detection-SQL-Supervised

Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression model, and evaluate performance with AUC, precision, recall, and ROC analysis. A complete supervised fraud detection workflow.

Language: Python - Size: 2 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

venkat-0706/Twalyze

Twitter sentiment analysis project using machine learning to classify tweets and understand audience mood, opinions, and behavior trends in real-time.

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 10 - Forks: 1

ziaee-mohammad/Alzheimer-MRI-Prediction

MRI-based Alzheimer’s prediction with classical ML and CNNs on the OASIS dataset. Includes Grad-CAM visualization, model comparison (KNN, SVM, MLP, CNN, ensembles), and rigorous evaluation (ROC-AUC, PR-AUC).

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

labex-labs/scikit-learn-for-beginners

This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.

Size: 37.1 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Schuch666/eva3dm

A package to evaluate 3d weather and air quality models

Language: R - Size: 12.2 MB - Last synced at: 8 days ago - Pushed at: 15 days ago - Stars: 5 - Forks: 0

Rohanjain2312/ngram-language-model

Implementation of classic N-Gram Language Models with Laplace smoothing, interpolation backoff, and perplexity evaluation — built from scratch in Python.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

ziaee-mohammad/Breast-Cancer-Prediction

Machine learning model for breast cancer prediction using diagnostic cell features. The project includes data preprocessing, model training, and evaluation to classify tumors as benign or malignant.

Language: Jupyter Notebook - Size: 708 KB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

MuhammadUsman-Khan/Credit_Card_Fraud_Detection

Credit Card Fraud Detection using Scikit-learn pipelines for automated preprocessing, model training, and prediction.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

nirmal2i43a5/Employee-Churn-Prediction

An interactive HR-analytics app predicting employee churn via scikit-learn pipelines and Streamlit

Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 1

Cloud-CV/GSoC-Ideas

CloudCV GSoC Ideas

Language: HTML - Size: 19.7 MB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 123 - Forks: 46

Striveworks/valor

Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.

Language: Python - Size: 34.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 40 - Forks: 4

maxwellkonnaris/mlscale

Analysis code for Uncertainty Modeling Outperforms Machine Learning for Microbiome Data Analysis Manuscript

Language: R - Size: 56.4 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

roggersanguzu/Machine-Learning

Contitutes Different ML Work

Language: Jupyter Notebook - Size: 431 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Hazim-HF/Personal-Project

A data science and machine learning project exploring various analytical techniques, feature engineering, and model building. The repository includes data preprocessing, exploratory data analysis (EDA), machine learning models, and performance evaluation.

Language: Jupyter Notebook - Size: 587 MB - Last synced at: 23 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Shreek195/bank-customer-churn-prediction-hpo

End-to-end machine learning pipeline to predict bank customer churn using Decision Tree and Random Forest, with feature engineering, evaluation, and hyperparameter tuning.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

hurkanugur/ResNet-Tire-Classifier

Tire condition classification using ResNet and transfer learning. This project applies deep learning to identify whether a tire is in good or bad condition based on image data.

Language: Python - Size: 7.26 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Climate-REF/climate-ref

Rapid Evaluation Framework for CMIP simulations

Language: Python - Size: 158 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 16 - Forks: 9

hurkanugur/Car-Price-Predictor

This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.

Language: Python - Size: 756 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

deaneeth/churn-prediction-production-pipeline

Production-grade machine learning pipeline for customer churn prediction with modular components for data preprocessing, model training, and streaming inference. This third repo in a series builds on previous work to create a deployment-ready prediction system with comprehensive configuration, evaluation metrics, and scalable architecture.

Language: Python - Size: 898 KB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

YusufCaymazZ/meovis

Meovis is an open-source tool that helps you visualize, explain, and compare your machine learning models with clarity.

Language: TypeScript - Size: 189 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 2 - Forks: 0

avijit-jana/cnn-architectures-benchmark

A comparative benchmark of popular Convolutional Neural Network architectures (LeNet‑5, AlexNet, GoogLeNet, ResNet, Xeception) on MNIST, Fashion‑MNIST and CIFAR‑10 using PyTorch. Includes analysis of loss curves, accuracy, precision, recall and F1‑scores.

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

KonNik88/heart-disease-ml-practice

Practice notebook on heart-disease risk with a small/noisy dataset: EDA → preprocessing → classic ML baselines (scikit-learn). Not for clinical use

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

inesruizblach/data-science-project

A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.

Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Varun-khorgade/ChurnShield-Customer-Retention-Predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

Size: 1000 Bytes - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

roboflow/cvevals

Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, models hosted on Roboflow)

Language: Python - Size: 1020 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 37 - Forks: 4

Abdulla60582/awesome-QAI-Papers-QCNN

📚 Explore key research on Quantum Convolutional Neural Networks (QCNN) and their applications, enhancing AI through efficient knowledge transfer and optimization.

Size: 1.31 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

PAGE777-lab/awesome-QAI-Papers-QNN-QRNN

🔄 Discover research on Quantum Neural Networks and Quantum Recurrent Neural Networks, focusing on transfer learning and real-world applications in AI.

Size: 42 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

N-UDOH/DATA-SCIENCE-ML-PORTFOLIO

Applied data science & ML projects for study and work.

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

caydenrgarrett/Iris-ML-Classifier

A complete machine learning workflow using the Iris flowers dataset 🌸. Covers data loading, exploration, visualization, model building, evaluation, and final prediction. Six ML algorithms are compared, and the best-performing model (SVM) achieves ~97% accuracy.

Language: Jupyter Notebook - Size: 309 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

GorkemCin/Machine_Learning

Supervised Machine Learning projects with Python

Language: Jupyter Notebook - Size: 725 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ACCESS-NRI/ACCESS-ENSO-recipes

Recipes and metrics for evaluating ENSO in ACCESS

Language: Jupyter Notebook - Size: 74 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 4 - Forks: 1

ACCESS-NRI/access-py-telemetry

Tracks usage of the ACCESS-NRI Python libraries & services

Language: Python - Size: 233 KB - Last synced at: 6 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

rachkat/analyzing-cost-benefit-r-activity

Decision Tree classification on the Titanic dataset with evaluation using a Confusion Matrix and ROC Curve. Achieved 78.1% accuracy and an AUC of 0.8147, highlighting sex, age, and passenger class as key survival predictors.

Size: 1.92 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

UBC-NLP/marbert

UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic

Size: 581 KB - Last synced at: 17 days ago - Pushed at: about 4 years ago - Stars: 111 - Forks: 15

Akshay8087/Car-Price-Predictor

Built a machine learning model to predict used car prices using features like year, mileage, and brand. Applied Linear Regression for accurate price estimation, with data cleaning, feature encoding, and model evaluation using R² and MAE.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AdiSinghCodes/Personalized-Cancer-Diagnosis

Personalized Cancer Diagnosis is a tool that predicts the effect of genetic mutations in cancer patients. Given a gene, its variation, and clinical text, it uses advanced machine learning (Logistic Regression with TF-IDF features) to classify mutations into 9 categories.

Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Abdullah321Umar/Brainwave_Matrix_Intern-TASK2

♦️ Twitter US Airline Sentiment Analysis ♦️ Applied text preprocessing, NLP, and sentiment classification to analyze positive, neutral, and negative tweets. Created visualizations like sentiment distribution, airline comparisons, and word clouds for key insights. Delivered a cleaned dataset, insightful analysis, and automated PowerPoint report.

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

metriculous-ml/metriculous

Measure and visualize machine learning model performance without the usual boilerplate.

Language: Python - Size: 3.54 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 99 - Forks: 11

Shamir-Havas/Automobile-Sales-Analysis-Dashboard

🚗 Built an interactive Automobile Sales Dashboard using Python & Plotly Dash. Features dynamic filters, multi-chart views, and KPIs to analyze sales by year, region, and vehicle type. Demonstrates data wrangling, visualization, and dashboarding skills for business insights.

Language: Jupyter Notebook - Size: 673 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

syedabdullahbukhari77/machine-learning

A collection of notebooks and scripts covering essential data science concepts. Includes data manipulation, cleaning, analysis, and visualization techniques.

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

The-Focus-AI/umwelten

CLI tool for evaluating and comparing AI models across Google, Ollama, OpenRouter, LM Studio, and GitHub Models. Features robust error handling, cost tracking, memory-augmented chat, and dynamic test coverage.

Language: TypeScript - Size: 3.7 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Sujalkansara/predict-molecular-solubility-using-the-Delaney-Solubility-ML

built a regression model to predict molecular solubility using the Delaney Solubility Dataset, diving deep into the world of cheminformatics and data science.

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Venkat-023/Human_Activity_Analysis

Human Activity Analysis Using Machine Learning Project Overview This project involves analyzing human activity data using sensor signals to classify various physical activities such as walking, sitting, standing, and others. The dataset consists of time domain and frequency domain features extracted from body acceleration, gravity acceleration,

Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

thomasp85/lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

Language: R - Size: 10.6 MB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 489 - Forks: 109

Zobiya-Jumani21/Machine-Learning

This repository contains the machine learning projects I developed during my internship at Digital Empowerment Network. Each project applies core data science and machine learning concepts to solve real-world problems, from healthcare to real estate and text classification.

Language: Jupyter Notebook - Size: 10 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

adirbella37/RentalPrice-ML-Modeling

A machine learning project to predict apartment rental prices in Tel Aviv using Elastic Net and Decision Trees. It includes data preprocessing, feature engineering, model training, and performance evaluation.

Language: Jupyter Notebook - Size: 185 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AzaRKazar/Athlete-Injury-Risk-Analyzer

Athlete Injury Risk Analyzer predicts injury risks using symmetry metrics (force, impulse, torque). It classifies athletes into risk categories with machine learning models and offers a user-friendly Streamlit app for data upload and predictions.

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Alaeddin-B/Modeling-Car-Insurance-Claim-Outcomes

This project uses logistic regression to find the single best predictor of car insurance claims from a customer dataset. It demonstrates practical data science skills including data cleaning, feature selection, model evaluation, and visualization.

Language: Jupyter Notebook - Size: 338 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

maryamzaman30/Email-Spam-Detection-With-Machine-Learning

Data Science Intern - Data Zenix Solutions

Language: Jupyter Notebook - Size: 212 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

PacktWorkshops/The-Deep-Learning-with-Keras-Workshop

An Interactive Approach to Understanding Deep Learning with Keras

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ashleysally00/promptfoo-quickstart-guide

Quickstart guide for using PromptFoo to evaluate LLM prompts via CLI or Colab.

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UZKN-COMP316-PROJECT/Resume-Ranking-Program

An AI-powered resume evaluation system using BERT regression to deliver consistent, bias-reduced scoring

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ACCESS-NRI/ESMValTool-workflow

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SatvikPraveen/Sklearn-Mastery

Enterprise-grade ML framework showcasing advanced Scikit-Learn implementations with production-ready pipelines, algorithm-optimized synthetic data generation, comprehensive evaluation suite with statistical testing, custom transformers, ensemble methods, and real-world industry applications across healthcare, finance, and manufacturing domains.

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RajeevKPurdue/Cisco_IN_inlandLakes

Spatiotemporal analyses of Dissolved Oxygen & Temperature from monitoring rear-edge, protected species in Indiana lakes with INDNR. Habitat Modeling & Temporal Scale Comparisons

Language: Python - Size: 198 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0