This is a hackathon project that helps clinics to predict the re-admission rate for people with diabetes.
-
Updated
Mar 19, 2021 - Jupyter Notebook
This is a hackathon project that helps clinics to predict the re-admission rate for people with diabetes.
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
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.
List of all AI models worldwide and examples
Instagram Fake account detection ML model using SciKit Learn
ACME Insurance Inc. offers affordable health insurance to thousands of customer all over the United States. As the lead data scientist at ACME, you're tasked with creating an automated system to estimate the annual medical expenditure for new customers, using information such as their age, sex, BMI, children, smoking habits and region of residence.
A Project / Assignment made as a part of the Machine Intelligence course (UE20CS302) at PES University. The objective of the project was to demonstrate the applications of Machine Intelligence
Using Various ML/DL models to detect the fake news.
Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.
Using Scikit-learn and Imbalanced-learn to build and evaluate ML models that predict credit risk
An End-to-End production ready application for predicting the quality of wine🍇. Build ML model and deployed using flask 🤖. Used various MLOps tools to smooth the workflow.
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.
A companion repo the blog article titled: Using feature flags with machine learning models
Comparison between models to determine whether the cancer is benign or malignant.
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.
Awesome papers on Machine Learning and Statistical Models
In this Machine Learning Classification project we are going to predict who is going to survive the titanic crash and who isn't !!
PyPi package to perform quality analyses on ML models.
A compilation of my early beginner data science projects (now outdated)
Add a description, image, and links to the ml-models topic page so that developers can more easily learn about it.
To associate your repository with the ml-models topic, visit your repo's landing page and select "manage topics."