ml-models
There are 140 repositories under ml-models topic.
FaizanZaheerGit/StudentPerformancePrediction-ML
This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
explosion/spacy-huggingface-hub
🤗 Push your spaCy pipelines to the Hugging Face Hub
ankandrew/open-image-models
Pre-trained image models using ONNX for fast, out-of-the-box inference.
gershonc/octopus-ml
A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
nirdesh17/House-Price-Prediction
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
prinz-nussknacker/prinz
Prinz provides ML integrations for Nussknacker.
Otosaku/OtosakuTTS-iOS
Swift library for offline text-to-speech synthesis on iOS/macOS. Generate natural speech directly on device using CoreML-optimized FastPitch and HiFiGAN models. No internet required, fully private.
virajbhutada/spotify-track-analysis-and-recommendation
Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.
RenatoMaynard/Supervised-Machine-Learning-Models-Pytorch-Sklearn
This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models
Hydrospheredata/hydro-serving-manager
Part of the Hydrosphere.io project.
Shalinee13/Credit-Card-Fraud-Detection-using-ML-models
This dataset is used to detect the credit card fraud detection. This is a classification problem. This is an imbalanced dataset based on target variable. So In this Project, I will use encoding and decoding techniques to balanced dataset.
souravlouha/IOT_2nd_year2023-24
🔌📡A collection of IoT and Machine Learning-based projects built during the 2nd year NBA curriculum (2023–24). Includes modules on basic IoT levels, full project implementations like Plant Disease Detection using CNN and Streamlit, and database/web integration. Ideal for students exploring practical AI-IoT systems in agriculture and smart solution
mlpapers/models
Awesome papers on Machine Learning and Statistical Models
nano-bot01/Car-Price-Prediction-System-Web-App
A Regression based ML model for prediction of car prices in market
nano-bot01/Customer-Segmentation-using-Clustering-
Customer Segmentation using Clustering (Machine Learning)
nano-bot01/Handwriting-Detection-using-Deep-Learing-with-Neural-Network
Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook
souravlouha/ML_Practice_Studio
🧠A hands-on workspace for practicing machine learning concepts, data preprocessing, and experimenting with small ML projects. This repo includes foundational Python scripts, real-world mini-projects, and experiments that reflect a progressive learning journey in applied machine learning.
verneylmavt/recipe-generator
A Flask-based Recipe Generator that suggests creative recipes based on user-input ingredients or uploaded images, with nutritional insights.
abdullahashfaqvirk/Amazon-Laptop-Price-Prediction
Developed an Amazon laptop price prediction tool using machine learning algorithms, integrated with a Streamlit app for an interactive user experience.
akhileshthite/healthyme-ai
Predict diseases with the help of AI to save cost, time, and to prevent misdiagnosis.
dharmikbanka23/Insurance-Product-Purchase-Prediction
This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.
eloy13rayo/st-kjv-vis
A collection of King James Version (KJV) Bible analysis and visualization
Elysian01/ML-EDA-and-Modelling-using-Streamlit
Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.
mahmoudmaftah/mini-sklearn
A lightweight, implementation of Scikit-learn core machine learning algorithms, preprocessing tools, and evaluation metrics from scratch.
nano-bot01/Titanic-Survival-Prediction-using-Machine-Learning
Titanic Survival Prediction using Logistic Regression
SMQuadri/Big-Mart-Sales-Prediction
Machine Learning Project
SMQuadri/Chennai-Housing-Price-Prediction
Machine Learning Project
SMQuadri/Geely-Car-Price-Prediction
Machine Learning Project
superai999/ai-model
List of all AI models worldwide and examples
virajbhutada/article-recommendation-system
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
virajbhutada/ML-projects
A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.
wahidpanda/Fake-News-Detection-ML-Project
Using Various ML/DL models to detect the fake news.
HassanF22605018/Data-Analytics-Projects
Welcome to the repository containing comprehensive data analytics projects focused on customer behavior analysis and sales forecasting. These projects leverage real-world datasets and practical tools like Python, Excel, Power BI, and Jupyter Notebooks to uncover actionable insights and predict future trends.
PriyanshuSingh44/house_price_prediction_intermediate
Predicting house prices using XGBoost and Random Forest — based on Kaggle’s Intermediate ML course.
Vishnupriya-Navigator/SmallSatellites
AI testbed for mission-critical software optimization using telemetry, ML, and Bayesian tuning (SmallSat 2025)