machine-learning algorithms using Python.

Insurance claim fraud detection using machine learning algorithms.

Descision Tree Demonstration

Machine Learning Project Decision Tree model

Machine learning course at IDC. Implemented several amount of ML algorithms in Python using Jupyter notebooks

Django and Machine learning based web application that helps you predict if you're diabetic or not.

Real-Life Example for Machine Learning Projects (Python3) -Part-2

In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.

This repository is about machine learning algorithms

Smart disease prediction system made using traditional machine learning algorithms and to create an user interface using streamlit. 🚀

All details in README.md

Evaluation and Implementation of various Machine Learning models for creating a "Banking/Financial Transaction Fraud Prevention System"

Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.

In this classification project, we will use different features like passenger class, sex, age, fare, etc to predict whether a person will survive in titanic or not.

In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.

the second algorithm I've ever "written."

Code for my Medium article: "How you can quickly deploy your ML models with FastAPI"

Machine Learning Project to understand the lifecycle metrics of a loan in order to minimize delinquent loans

Use of Gradient Boosting Descision Trees for a Classification Problem

This Model can predict that which client will subscribe to the bank term deposit in future .