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

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

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

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

Data Science final project

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

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

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

Predicting Tags for Stack Overflow

Different models to detect if a claim is fraudulent or not

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

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

Code templates for data prep and different ML algorithms in Python.

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

Machine Learning lessons (Linear Regression, Logistic Regression, DecisionTreeClassifier, SVC, RandomForestClassifier, K Clustering, Naive Bayes) and data manipulation codes learned from this playlist: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=1

Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).

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

IFT3395 Machine learning competition 1: Kaggle