Using machine learning technique of K-Nearest Neighbors and visualization tools, our group predicted credit score classification for bank customers based on 10+ features.

Doing algorithms on next sets of data

Explore hands-on machine learning projects, resources, and collaborative opportunities in this GitHub repository.

In this project I want to show the effect of feature extraction, feature selection, etc. on results of different models

supervised-machine-learning-knearest-neighbour-and-decision-tree-classification

KNN is a basic machine learning algorithm used for classification and regression tasks. It predicts the class of a new data point based on the majority class of its nearest neighbors. KNN is simple, non-parametric, and learns directly from the training data without explicit training.

The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.

Predicting Bank note genuine or not.

A school machine learning project based on the Knearest neighbours model

AXA Data Science Challenge

This is a Classification problem in which we need to classify whether the Loan will be approved or not.

Estimation of vital status of patients with ovarian cancer using Machine Learning models (K-Nearest-Neighbors, Support Vector Machine, Logistic Regression, Random Forest and XGBoost)

Machine Learning Lab JNTUHUCESTH R-21

Lung Cancer Prediction achieved using sklearn for the CSE422 course at BRAC University,

This project aims to build a convolutional neural network (CNN) model that can classify handwritten digits from the MNIST dataset.

EDA, Hypothesis Testing, Feature Engineering, Model Pre-Processing, and Model Construction in Python

Breast Cancer prediction app using KNN and SVC algorithm.

This repository consists of codes regarding different neural network algorithom implementation.

Machine learning algorithm (K Nearest Neighbors) on a TCP server in C++ with command design pattern and multi-threading capabilities.