All solved lab of FAST NUCES Lahore campus _ 2022 Spring
-
Updated
Aug 16, 2022 - Jupyter Notebook
All solved lab of FAST NUCES Lahore campus _ 2022 Spring
Implementing an Image classification neural network to classify Street House View Numbers
A machine-learning project to determine if a certain mushroom is edible or poisonous.
Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection
The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
K-Nearest Neighbors Classifier
CSE 575 Statistical Machine Learning
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje d…
Build and evaluate various machine learning classification models using Python.
Detection (Prediction) of the possibility of a stroke in a person
Deep learning based recommender system made up of CNN for feature extraction and k-nearest-neighbors for recommendation
The fraud identification models were build using Python Scikit-learn machine-learning module.
Used 5 different supervised machine learning algorithms and trained them with real data of people with and without liver disease. Then evaluated the results of each of them using different parameters to choose the best one.
Who is a Liver Patient?
The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to …
A Supervised machine learning classifier using K Nearest Neighbour (KNN) and Logistic Regression.
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
Classification of images based on their orientation using Neural Networks, Adaboost and K-Nearest Neighbors
This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.
Add a description, image, and links to the knearest-neighbor-classifier topic page so that developers can more easily learn about it.
To associate your repository with the knearest-neighbor-classifier topic, visit your repo's landing page and select "manage topics."