ml-models
There are 84 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
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.
ankandrew/open-image-models
Pre-trained image models using ONNX for fast, out-of-the-box inference.
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.
Hydrospheredata/hydro-serving-manager
Part of the Hydrosphere.io project.
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
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.
abdullahashfaq-ds/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.
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.
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
wahidpanda/Fake-News-Detection-ML-Project
Using Various ML/DL models to detect the fake news.
iamumarjaved/Covid-19-Detection-using-X-rays-with-ML
It detects the X-Rays and can tell if the X-ray is of Normal Person Or Covid-19 Efected Person.
lironmiz/machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
MongoExpUser/Synthetic-Drilling-Data-App-for-Sqlite-ML
Generate synthetic drilling data that can be used for testing machine learning (ML) models.
mrankitgupta/titanic-survival-prediction-93-xgboost
Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.
omarnahdi/Edible-Mushrooms-ML-project
🍄 Mushroom Classifier Project 🌿 Dive into the fascinating world of mushrooms with my latest project! 🚀 Using Support Vector Machines (SVM) in machine learning, I've crafted a powerful model that predicts whether a mushroom is edible or poisonous based on its unique features.
otrevizo/Python
Vignettes, use cases, toolbox, and datasets to help me when I code in Python.
PranavPutsa1006/Data-Science
A collection of Python Implementations in Data Science
SCIFER99/Convolutional-Neural-Network-Example
This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!
shusingh/Covid19-Future-Forecasting
In this Kaggle project, I worked on the Covid-19 dataset to predict Covid-19 cases in India and all over the world. Used Matplotlib, Seaborn, and Plotly for Data Visualization. Used Prophet, Arima, Lasso, Linear Regression, Ridge Reg, Stacking & Blending for Prediction.
superai999/ai-model
List of all AI models worldwide and examples
ved-et9/ML-Algo-s
📚📝 Types of Ml algos
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.