Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.

Predicting the incidents raised by the customer

This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

Machine Learning Recipes is a series of videos from Google Developers covering codes (python) and insights about ML.

Data Science final project

SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier

This project used machine learning concept to predict disease on their symptoms

In this project I intend to predict customer churn on bank data.

Implementing a Generic Decision Tree Classifier in Swift and comparing it with a python version.

This repo contains the Minor Project 1 named Fasal Fusion: An Algorithmic Approach to Transform Crop Recommendations

Retail AI Insights: Customer Intelligence with Hybrid ML

This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.

Predicting Tags for Stack Overflow

This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

A parser for scikit-learn exported text models to execute in the Java runtime.

Different models to detect if a claim is fraudulent or not

No description provided.

A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?

Decision tree classifier to predict the right classes of the observations in the 'Iris' data set.

Machine Learning Playground

Interconnect : Clients Churn Prediction using ML

The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.

Natural Language Processing AI-model driven sentiment analysis system that will automatically process and analyze news articles to gauge market sentiment, and summarizing the news at a weekly level to enhance the accuracy of their stock price predictions and optimize investment strategies.

Bank Marketing Classifcation machine learning using 6 Models each of models given another accuracy

This is my own code. The data set is taken from Kaggle competitions. Here is the link: https://www.kaggle.com/competitions/titanic

Machine Learning (IFT3395) Kaggle competition 1

Text Data Vectorization and Various Machine Learning Algorithms for Text Classification

EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019

Regression Analysis - Toyota Corolla price prediction

A crop recommendation website which uses an ML model (decision tree classifier) to recommend the crop that can be grown in a particular area