knearest-neighbor-algorithm
There are 170 repositories under knearest-neighbor-algorithm topic.
sharmapratik88/AIML-Projects
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
shantanu1109/Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization
This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
sohailahmedkhan/Phishing-Websites-Classification-using-Deep-Learning
A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3 different feature selection and 2 different dimensionality reduction techniques are used for comparison.
nikopetr/R-Star-Tree
Java Implementation of the R* Tree
petrpavlov/Image-Retrieval
Implementation of simple content-based image retrieval
adotg/knn-what-how-why
What is knn? How is knn done? Why is knn needed?
aryanraj2713/KNN-visualization
A casestudy about K-nearest-neighbors Algorithm
pragmaticpython/k-nearest-neighbors-python
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
EslamTK/Students-Performance-System
Students performance system to help students improve their academic performance
fazeelkhalid/artificial-intelligence-real-life-problem-and-solutions
All solved lab of FAST NUCES Lahore campus _ 2022 Spring
Lawrence-Krukrubo/Machine_Learning
Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )
ozlemkorpe/Machine-Learning-with-MATLAB
Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
Sachin-D-N/Amazon_Food_Reviews
In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.
AYSE-DUMAN/K-Nearest-Neighbors
K Nearest Neighbors algorithm in Python and some applications
CCWI/wifi-fingerprinting-app
Android App for indoor localization in large buildings based on RSS fingerprinting
chkrr00k/IshiVision
Computer Vision Based System to read the numbers in an Ishihara Plate test
SphericalSilver/Machine-Learning-Predictive-Modelling
List of various Machine Learning algorithms used in projects.
Zabuzard/Closy
Closy is a library that provides fast and generic solutions for nearest neighbor search (NNS)
BatuhanSeremet/knn-recruitmentbot
A Recruitment bot that uses K-Nearest Neighbors Algorithm to determine whether you should hire the applicant or not
ceswer/NAI
Solving tasks given by PJWSTK and own projects based on artificial intelligence.
thenomaniqbal/Diabetes-prediction
In this project, we try to predict whether someone is diabetic or not by using data mining techniques and approaches more accurately by combining the results of various machine learning (ML) techniques particularly K-Nearest Neighbors (KNN).
alfianandinugraha/knn-iris
Simple algorithm K-Nearest Neighbors with Python and Sklearn
Dishcreate/Machine-Learning-Model
Performance Comparision of Machine Learning Algorithms
Jatin-Goyal-552/stroke_prediction
Stroke Prediction
MahekDwivedi/heart-failure-prediction-system
Machine learning model which uses Linear Regression and K Nearest neighbours (KNN) algorithms to predict heart failure based on parameters .
NikhilSKashyap/11-Projects-to-DataScience
In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.
Rajat-dhyani/charity_donors
In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.
rkumar70900/Machine_Learning
Machine Learning Course Assignment Solutions.
sahith/MachineLearning
MachineLearning
shubhi126/Predicting-who-wins-2008-Democratic-Primaries-Elections--Clinton-vs.-Obama
Imagine you are the front runner for democratic party primaries in 2008 - 1 week into elections you have won a few states(Obama) and your opponent (Hillary) is catching up. How you can use analytics to predict which of the remaining seats will you win using demographic data from states you won and lost. Can we accurately classify win or lose for the remaining seats using data. Can we use this prediction to find out factors which impact our chances of winning and improve our appeal to places that are predicted loss thus improving our chances of winning? Well , Let's find out!
Top-Machine-Learning-Projects/Predict-the-Price-of-Bangalore-House
In this Machine Learning Top Project Repository, we will solve the industry-based real-time problem, and also we will solve the Kaggle competition.
Gopinathalpha7/Machin-Learning_Notes
[ Simple steps to learn Machine learning models ]
MacAindreis/Credit-card-Fraud-Detection
This is a mini Project on Credit Card Fraud Detection Web App. Using four Learning Algorithms