-
Updated
Jun 20, 2024 - Jupyter Notebook
ml-models
Here are 75 public repositories matching this topic...
This repository contains ML model for outlier detection
-
Updated
Jun 18, 2024 - Jupyter Notebook
This repository consist of machine learning models which can be use 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.
-
Updated
Jun 18, 2024 - Jupyter Notebook
App to guide visually impaired people through mobile and ML models
-
Updated
Jun 16, 2024 - C++
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
-
Updated
Jun 9, 2024 - Python
-
Updated
Jun 7, 2024 - Jupyter Notebook
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.
-
Updated
Jun 4, 2024 - Jupyter Notebook
🤗 Push your spaCy pipelines to the Hugging Face Hub
-
Updated
Jun 2, 2024 - Python
This project aims to forecast inflation rates using machine learning techniques. Leveraging historical economic data on GDP and unemployment rates, the model provides predictions for future inflation trends.
-
Updated
Jun 2, 2024 - Python
This repository contains an Inflation Predictor ML Project using Flask. The project aims to predict the inflation rate based on economic indicators such as GDP and the unemployment rate.
-
Updated
Jun 2, 2024 - HTML
-
Updated
Jun 2, 2024 - Jupyter Notebook
All weekly exercises in the Spring course Big Data Processes
-
Updated
May 16, 2024 - Jupyter Notebook
This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!
-
Updated
May 11, 2024 - Jupyter Notebook
This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
-
Updated
May 5, 2024 - Python
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.
-
Updated
Apr 29, 2024 - Jupyter Notebook
-
Updated
Apr 9, 2024 - Jupyter Notebook
-
Updated
Apr 9, 2024 - Jupyter Notebook
Custom implementation of classic ML algorithms with annotations
-
Updated
Feb 25, 2024
Using a machine learning model, California housing price prediction is made based on various factors such as location, square footage, number of bedrooms, and more. The model analyzes historical data to provide accurate estimations, aiding potential buyers and sellers in making informed decisions.
-
Updated
Feb 11, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the ml-models topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ml-models topic, visit your repo's landing page and select "manage topics."