rembertdesigns/nfl-big-data-bowl-2026

Predictive modeling using pre-snap NFL tracking data to anticipate play outcomes for the 2026 Big Data Bowl. Includes feature engineering, data pipelines, and exploratory football analytics.

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

RakibulHasanRatul/dhaka-house-rent-predictor

A simple python program with no external dependancy to predict the house rent at various locations. in Dhaka, Bangladesh.

Language: Python - Size: 119 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

nilkanth02/Students-Placement-Project-

v1

Language: HTML - Size: 22.5 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

elifmgungor/cfDNA-ResponsePrediction

Bioinformatics pipeline for predicting cancer treatment response using cfDNA nucleosome signals.

Size: 3.91 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

alifathi1x/GangSign_Detection

Size: 7.81 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

VarishtRaheja/ML

Machine Learning - Supervised, Calussification, Unsupervised, NLP and more....

Language: Jupyter Notebook - Size: 3.73 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

jigyasaG18/IIT-Guhawati-Hackathon

NHANES Age Group Prediction is a machine learning web app built which classifies individuals as Seniors (65+) or Adults using health and lifestyle data from the NHANES dataset. Powered by a highly accurate Random Forest model, the app supports both individual & batch predictions via user-friendly Streamlit interface. Aims to assist in health plans

Language: Jupyter Notebook - Size: 142 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

neelanshu7/Breast_Cancer_Prediction

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Flamingeas/Learning-AI-through-visualization-Columbia-University-practice-

This is where I store my personal research made throughout the on-line learning materials from Columbia University.

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jigyasaG18/IIT-Guhawati

Empower Sakhi is a data-driven platform that uses machine learning to identify women at risk of domestic violence in India. It offers confidential self-assessments, survivor stories, and emergency resources through a trauma-informed, privacy-focused web app. The project also provides NGOs with actionable insights via Power BI dashboard for support.

Language: Jupyter Notebook - Size: 6.57 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

AnnieFiB/OtherProjects

Powering Data Dreams: From Orchestration to Analytics with Cloud Precision

Language: Python - Size: 523 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

uwsunlab/Co-MOF

A computer vision tool for automated extraction of morphological features from images — Bok Choy.

Language: Jupyter Notebook - Size: 79.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Cre4T3Tiv3/Cre4T3Tiv3

I’m a software engineer who builds real, scalable systems end to end. With over a decade of experience spanning fintech, ad-tech, and enterprise SaaS, I design and deliver production-grade software that combines deep backend architecture, rich frontend UX, and AI-native tooling.

Size: 571 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

zfountas/deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

Language: Python - Size: 12.4 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 90 - Forks: 18

Rachelnk/Simple-Machine-Learning-Model

A simple machine learning model built using scikit-learn library.

Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: 9 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

IBM/AutoMLPipeline.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Language: Julia - Size: 23.6 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 363 - Forks: 28

svn-code/used-car-price-predictor

A machine learning-based web app to predict the price of used cars in India based on various features like brand, model, location, fuel type, and more. Built with Streamlit for an interactive user interface and powered by an XGBoost (multiple-non-linear-regression) model for accurate predictions.

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

aiaaee/Student-Dropout-Success-Prediction

Classify dropout, enrolled, or graduate status using 36 student features

Language: Jupyter Notebook - Size: 8.79 MB - Last synced at: 11 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

thomas-young-2013/mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Language: Python - Size: 63 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 60 - Forks: 28

IBM/MAX-Audio-Classifier

Identify sounds in short audio clips

Language: Python - Size: 38.2 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 155 - Forks: 53

WhereisHussain/Data-Science

Projects related Data Visualisation, Cleaning, Preprocessing, Machine Learning, Deep Learning, ANN and CNN Projects and Model Training and Model Evaluation

Language: Jupyter Notebook - Size: 451 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

MaklonFR/Movie-Recomendation-System

Submision Dicoding Indonesia - Machine Learning Terapan (Movie Recomendation)

Language: Jupyter Notebook - Size: 681 KB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

dubprime/mythral

Mythral Neurosymbolic AI

Language: HTML - Size: 4.43 MB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

IBM/MAX-Image-Resolution-Enhancer

Upscale an image by a factor of 4, while generating photo-realistic details.

Language: Python - Size: 48.7 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 1,016 - Forks: 160

Mach-A/NYC_taxi_dataset_2024dataset

Pyspark data analytics & ML models

Language: Jupyter Notebook - Size: 121 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Kedhareswer/ML_Projects

A collection of machine learning projects and experiments.

Language: Jupyter Notebook - Size: 91.4 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

Riddhis2226/Titanic-Survival-Data-Analysis

Titanic-Survival-Data-Analysis : Analyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.

Language: Jupyter Notebook - Size: 3.22 MB - Last synced at: 23 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

Chetnas8/acaml-web-app

ACAML is an Adaptive Constraint-Aware AutoML web app built with Streamlit. It automatically selects the best model for regression or classification tasks using FLAML, displays performance metrics, and provides SHAP-based feature explanations. Empower users to run and interpret ML models easily.

Language: Python - Size: 443 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Shreeansh-Gupta/F1-LapTime-Predictor

This project builds a machine learning model to predict F1 qualifying lap times using telemetry, weather, tyre, and driver performance data. The model is trained on data from 2021 to 2025 (up to Monaco GP) and makes predictions for the upcoming Spanish GP 2025.

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

murufeng/awesome-machine-learning

A curated list of awesome machine Learning tutorials,courses and communities.

Size: 64.5 KB - Last synced at: 3 days ago - Pushed at: about 5 years ago - Stars: 41 - Forks: 12

gmalivenko/awesome-computer-vision-models

A list of popular deep learning models related to classification, segmentation and detection problems

Size: 103 KB - Last synced at: 10 days ago - Pushed at: about 4 years ago - Stars: 524 - Forks: 93

IBM/MAX-Breast-Cancer-Mitosis-Detector

Detect whether a mitosis exists in an image of breast cancer tumor cells

Language: Python - Size: 696 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 24 - Forks: 21

TheHypesTR/Anxiety-Analysis-ML-NLP

Machine Learning - NLP - Anxiety Analysis

Language: Python - Size: 13.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

explosion/spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

Language: Python - Size: 6.79 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1,745 - Forks: 304

siddhali24/College-Sentiment-Analysis

sentiment analysis on college reviews using ML models and Django

Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

srishanthreddy456789/Autism-Detection-of-Early-Childhood-Screening-

This project employs machine learning for early autism detection. Utilizing Python and SVM, it offers two models: one trained on a verified dataset for classification, and another for real-time prediction from user input, enhanced with visualizations for insightful analysis.

Language: Jupyter Notebook - Size: 191 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

IBM/MAX-Object-Detector

Localize and identify multiple objects in a single image.

Language: Python - Size: 200 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 292 - Forks: 223

cod3licious/autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Language: Python - Size: 1 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 522 - Forks: 64

annnieglez/nlp-stock-market-and-news

This project focuses on detecting fake news from news headlines using advanced Natural Language Processing (NLP) techniques. It combines sentiment analysis with news headlines embeddings, generated from Hugging Face transformer models, to train a binary classification model that distinguishes between real and fake news.

Language: Jupyter Notebook - Size: 9.7 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SwiftBrain/awesome-CoreML-models

Collection of models for Core ML

Size: 17 MB - Last synced at: 10 days ago - Pushed at: over 5 years ago - Stars: 583 - Forks: 60

ShadyDream222/forecasting_intraday_prices_GB_power_market

A data-driven project forecasting intraday electricity prices in the GB power market using SARIMAX and XGBoost. Combines market data, demand/generation forecasts, and model explainability tools like SHAP.

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Vikranth3140/CSE343-ML

Machine Learning is a 3xx-level course offered to undergrads at IIIT-Delhi.

Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mikeroyal/Machine-Learning-Guide

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Language: Python - Size: 1.05 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 624 - Forks: 53

jim-schwoebel/allie

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Language: Python - Size: 275 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 141 - Forks: 35

Sabdikay/Telco-Customer-Churn-Prediction-IBM-Dataset

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Shaldonbarnes10/Smart_fleet_guardian_Hackfest2025

Smart Fleet Guardian is an advanced predictive maintenance solution that empowers fleet managers to stay ahead of potential vehicle issues. By leveraging machine learning and real-time data monitoring, it anticipates failures before they occur.

Language: JavaScript - Size: 3.29 MB - Last synced at: 15 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Nicey-y/eodp-a2-accident-analysis-and-prediction

Assignment 2 - Elements of Data Processing

Language: Python - Size: 37.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

Language: Python - Size: 25.9 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 233 - Forks: 45

aydinnyunus/cancerdetection

Breast Cancer Detection

Size: 1000 Bytes - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

DaveAldon/Distributed-ML-with-MLX

🍎👉🍏 Everything you need in order to get started building distributed machine learning with Apple's MLX

Language: Python - Size: 32.6 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

SashiDo/awesome-teachable-machine

Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

Size: 226 KB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 215 - Forks: 31

hamza-ansarii/Teachable-Machine

Teachable Machine Clone is a responsive web app that integrates machine learning models for image, sound, and pose recognition. Train and test models with custom data like animals, sounds, and poses. Built using HTML, CSS, JavaScript, jQuery, and SCSS.

Language: HTML - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

AP0827/SVMvsDL

Comparing Support Vector Machines (Radial Basis Function and Polynomial) with Deep Learning Models like Conv1D and LSTM

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

susmnty/Client-IQ

The project focuses on predicting customer status using machine learning. It classifies customers as active, inactive, or at risk. Python and ML libraries are used for data analysis and modeling. The goal is to help businesses reduce churn. It supports better decision-making through predictive insights.

Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

burhanahmed1/VehicLens

Comprehensive automobile attribute prediction framework combining EDA, grid-searched polynomial regression, and ridge regularization to maximize predictive accuracy across diverse vehicular features.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

nashish109/smart-ecommerce-fraud-detection

AI-powered system to detect fraudulent transactions in e-commerce using machine learning. Includes data preprocessing, feature engineering, and classification models like Random Forest and XGBoost. Achieved high accuracy with interpretable results for real-time detection.

Language: Jupyter Notebook - Size: 3.43 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Shubham-7498/Iris_Flowers_Classifier

This project predicts the species of an iris flower based on its size using a Random Forest model. It scales input data for better accuracy, and the model is deployed via a Streamlit app on Render, where users can input measurements and get predictions, showcasing the full ML pipeline.

Language: Python - Size: 35.2 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Unitedstuff/10-Days-Of-ML

Embark on a focused journey to master the fundamentals of Machine Learning in just 10 days! This repository is designed to be a structured guide for both beginners and intermediate learners, offering daily challenges, hands-on coding exercises, and conceptual explanations to build strong ML foundations.

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

stynamic/ml-methods

The repository has Jupyter notebooks with Python code from my YouTube series, simplifying machine learning with hands-on coding.

Language: Jupyter Notebook - Size: 527 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

nikhil9276/ML-Model-Comparison-Dashboard

ML Model Comparison Dashboard — a sleek, interactive tool designed to simplify the comparison of different machine learning classification models. Whether you're a data science learner or a professional, this dashboard makes performance evaluation seamless and visual.

Language: Python - Size: 1.59 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SahilKumarTech/Iris_Flower_Classification_Project

This project focuses on building a machine learning model to classify Iris flowers into three species: Setosa, Versicolor, and Virginica based on their sepal and petal measurements. Using the well-known Iris dataset, I developed and trained a model capable of accurately predicting the species of unseen Iris flowers.

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

burhanahmed1/LaptopPricing-MachineLearning-Analysis

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for LaptopPricing dataset.

Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 5 - Forks: 1

ShingiraiBhengesa/house-price-predictor

A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.

Language: Python - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ph1ps/Food101-CoreML 📦

A CoreML model which classifies images of food

Language: Swift - Size: 3.73 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 148 - Forks: 32

sasa-misia/M-SLIP

A complete and fast Landslide Susceptibility Tool in MATLAB

Language: MATLAB - Size: 4.45 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

mehmoodulhaq570/Machine-Learning-Models

A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

gbazad93/PyQt6-DataWizard

Explore the evolving world of PyQt6 through 'PyQt6-DataWizard,' a step-by-step guide featuring progressive examples from basic data handling to advanced machine learning integration. Perfect for learners and professionals seeking practical PyQt6 applications.

Language: Python - Size: 613 KB - Last synced at: 1 day ago - Pushed at: 7 months ago - Stars: 22 - Forks: 1

IBM/MAX-Weather-Forecaster

Predict hourly weather features given historical data for a specific location

Language: Python - Size: 6.33 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 72 - Forks: 33

zahramh99/text-emotion-classification

Text emotions classification is the problem of assigning emotion to a text by understanding the context and the emotion behind the text. One real-world example is the keyboard of an iPhone that recommends the most relevant emoji by understanding the text.

Language: Python - Size: 48.8 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aiaaee/Gold-Price-Prediction

Prediction Of Gold Rates Using ML Techniques

Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AdilShamim8/ML-Roadmap-and-Notes

A carefully curated collection of machine learning notes, resources, projects, and datasets designed to guide you through the ML landscape effectively.

Language: Jupyter Notebook - Size: 6.78 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

ghiffarin/zeroalgae

An open research initiative developing hybrid AI models (PINN, LSTM) to predict dissolved CO₂ from pH, O₂, and temperature data—validated against lab methods.

Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mikeroyal/Google-Cloud-Guide

Google Cloud Platform (GCP) Guide. Learn all about Google Cloud Tools, Services, and Certifications.

Language: Go - Size: 197 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 157 - Forks: 51

happinessk/machine-model-aws

machine learning model to predict whether a customer will enroll for a certificate of deposit based on past customer behavior.

Language: Jupyter Notebook - Size: 829 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

DiaHere/California-Hosuing-Prices-Prediction

Individual Project

Language: Jupyter Notebook - Size: 805 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Ljove02/spacex-falcon9-analysis

The Falcon 9 Landing Success Prediction project predicts Falcon 9 first-stage landings using machine learning models like Logistic Regression, Random Forest, Gradient Boosting, and Neural Networks. Key features include payload mass, orbit type, and booster reuse. Data is balanced with SMOTE for better accuracy.

Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ThelaDev/Machine-Learning

This repository is focus on show u my personal projects and interests on Machine Learning and Data Science. Hope u enjoy it.

Size: 5.55 MB - Last synced at: 3 months ago - Pushed at: 3 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: 19.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

AdilShamim8/Email-Spam-Classifier

This Email Spam Classifier leverages machine learning and NLP to detect spam emails with high accuracy. It preprocesses data, extracts features, and trains a model to keep your inbox clean.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ahsan-83/Machine-Learning-Specialization-Coursera

Machine Learning Specialization course offered by DeepLearning.AI on Coursera

Language: HTML - Size: 139 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1

entrpn/serving-model-cards

Collection of OSS models that are containerized into a serving container

Language: Python - Size: 20.6 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 16 - Forks: 1

drisskhattabi6/Data-Analysis-And-ML-App

A Python desktop application using CustomTkinter for data analysis and machine learning.

Language: Python - Size: 16.4 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

0Xuser100/BankNotePredictor-UsingFastApi-ML

BankNotePredictorUsingFastApi uses ML to predict whether a banknote is real or fake, powered by FastAPI and a trained Random Forest model

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

JBris/kedro-testing

Testing Kedro

Language: Python - Size: 5.86 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

saadabdullah-15/stroke-rehabilitation-wearable-analysis

Analysis of wearable IMU sensor data for stroke rehabilitation and FAC improvement prediction.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gunagvn/Guna_ML_model

My First basic Machine Learning model

Language: Jupyter Notebook - Size: 214 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

cocoa-ai/ModelZoo

🦁 A central GitHub repository for sharing Core ML models

Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 96 - Forks: 6

huynhlong204/weather-forecast-vn-app

Dự án này cung cấp hệ thống dự báo thời tiết dựa trên dữ liệu lịch sử. Hệ thống gồm các module thu thập dữ liệu, xử lý dữ liệu, huấn luyện mô hình, dự báo và trực quan hóa kết quả.

Language: Python - Size: 17 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

SArshita/StockPrediction

StockPrediction uses machine learning to forecast stock prices and generate trading signals. It includes data preprocessing, feature engineering, model training (Random Forest, LSTM, XGBoost), and technical indicators (SMA, RSI). The project features trading strategies, data visualization, and a Streamlit dashboard for real-time analysis.

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sehaj003/Telco-Churn-Analysis

This repository contains files (dataset and Jupyter codebooks) for a project aimed to build machine learning models to predict customer churn based on given parameters.

Language: Jupyter Notebook - Size: 777 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

IBM/MAX-Toxic-Comment-Classifier

Detect 6 types of toxicity in user comments.

Language: Python - Size: 946 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 54 - Forks: 30

rcghpge/pymo 📦

A framework in Mojo for AI/ML/DL applications and other domains.

Language: Mojo - Size: 5.72 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

tejaswinisamanta/phishingDETECTIVE

phishingDetector is a machine learning model that detects phishing links by analyzing web address attributes such as IP type, URL length, shortening service usage, and domain age. It classifies URLs as legitimate or phishing based on these factors. This project has been built as part of a cybersecurity initiative using a dataset of 300+ URLs.

Language: Python - Size: 261 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Nuraj250/ICTSS_BE

A Spring Boot-based backend application for intelligent cricket team selection. ICTSS uses machine learning and real-time analytics to optimize team selection based on player statistics, match conditions, and more.

Language: Java - Size: 102 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Django-ML-Apps

Using Django framework for backend and simple html css jquery, to build a simple yet efficient website to showcase my machine learning model. A ML model based on XGBOOST that can predict if you are applicable for loan or not, trained using a public dataset available on kaggle

Language: Jupyter Notebook - Size: 4.42 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

akremjomaa/Time-series-forecasting-electricity-consumption

This project focuses on forecasting electricity consumption for a future period using different time series models, both with and without external covariates such as outdoor temperature.

Language: HTML - Size: 1.03 MB - Last synced at: 27 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Karush2807/MLOps-Tutorials

A repository dedicated to daily updates on MLOps practices and implementations. This space serves as a learning log, showcasing code and concepts derived from documentation and tutorials. It covers various MLOps tools, workflows, and techniques, offering a structured approach to mastering end-to-end machine learning operations.

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IBM/MAX-Audio-Embedding-Generator

Generate embedding vectors from audio files

Language: Python - Size: 39.6 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 59 - Forks: 31

nextgencodes/dspath

Collecting DS methods in one place

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ruoheng-du/human-bot-account

Identifying Human and Bot Accounts on Twitter Using Machine Learning | Fall 2024

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