📊 ML Model Validation using Data specific Cross Validation(CV) methods.

Implementation of the The k-nearest neighbors (KNN) algorithm. A machine learning algorithm that can be used to solve both classification and regression problems.

Algos de machine learning

CLASSIFICATION USING K-NEAREST NEIGHBORS (KNN) ALGORITHM. This project is for classifying banknotes using the KNN algorithm.

Predict sales based on several parameters using KNN algorithm.

A recommendation system for books. Built by following two filtering methods that are Collaborative Filtering and Content Based Filtering. Algorithms used are KNN, Pearson Correlation, and TF-IDF. Every dataset used can be easily found in the data folder of the respository.

Analysis the various patterns of genre people listen to,their popularity and acoustic features

In this program, I used the KNN model to estimate Iranian universities' entrance exam (konkur) rank, and I also developed a telegram bot so users could use it.

Data Classification of the Census Income Data Set using Linear Regression and knn algorithm

Apply Supervised Learning Algorithms using Python to predict breast cancer, diabetes, etc.. diseases.

Clustering

This repository contains some machine learning projects. It focuses on the use of classical statistical learning algorithms.

Image classification done on a dataset with 10 classes using 3 different models, CNN self created, CNN ResNet50 and KNN

Solar radiation Prediction Cameroon

Machine Learning examples using k-nearest neighbors algorithm

Handwriting recognition using several algorithms - NN,KNN, and neural networks (with back propogation)