Health insurance cost prediction according to patient parameters using machine learning algorithms
-
Updated
Aug 29, 2022 - Jupyter Notebook
Health insurance cost prediction according to patient parameters using machine learning algorithms
This repository contains implementation of the related article that was written as a part of Machine learning course at the Faculty of Computer and Information Science at the University of Ljubljana. In the article I describe how decision trees can be used to predict result of League of Legends game by using statistic data of previous games.
Machine Learning Algorithms & Data Manipulation with Python A collection of machine learning algorithms and data manipulation techniques using Python and Scikit-learn. Covers regression, classification, clustering, and neural networks, using real email and NSL-KDD datasets for practical applications.
This is a model that predicts the property prices based on the fed data.
Data science course at FIT CTU
Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble
Machine Learning Lecture Notes
Julia Decision Tree Algorithms for Regression
comparative study of data mining techniques in health care for heart disease
Mini Data Science projects using the various Data Science tools and Machine Learning algorithms I learnt - Pandas, Seaborn, Numpy, Linear Regression, K Nearest Neighbour, , Decison Trees and Random Forest
Implementation of Decision Tree Algorithm using Python, Pandas, and NumPy without using any off the shelf library usi
Add a description, image, and links to the decisiontrees topic page so that developers can more easily learn about it.
To associate your repository with the decisiontrees topic, visit your repo's landing page and select "manage topics."