Use KNN algorithm in machine learning classification

Machine Learning, EDA, Classification tasks, Regression tasks for customer churn

Here we have fully implemented a number of algorithms related to machine learning

Project for classifying audio files into different genres using the K-Nearest Neighbors (KNN) algorithm.

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

Practice

Credit Score Classification in R using various algorithms

Bu projede Breast Cancer data veri seti kullanılarak KNN (K Nearest Neighbor) SVM (Support Vector Machine) Naive Bayes algoritmalarıyla eğitim yapılmıştır. Eğitimde Gridsearch kullanılarak en optimum parametreler bulunmuştur.

The aim of this project to predict whether the product from an e-commerce company will reach on time or not. This project also analyzes various factors that affect the delivery of the product as well as studies the customer behavior.

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

ML project focused on predicting Titanic passenger survival using various algorithms and extensive data analysis techniques. This project includes detailed data visualization and interpretation to uncover key factors affecting survival. By leveraging various ML models the analysis aims to achieve high predictive accuracy.

KNN Classification Project

AIGO: AI-recommended Guidance for Obesity management

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

A quantum version of KNN algorithm

Documents classification using KNN Algorithm a graph based approach along with scrapped data

Parkinson disease detection using KNN Classifier and Random Forest Classifier.

Just a KNN from scratch using Python.