kneighborsclassifier
There are 124 repositories under kneighborsclassifier topic.
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
samadpls/stockseer-api
Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.
minhAI2045/Build-model-predicting-diabetes
Deep Learning; Machine Learning ; Sklearn ; Seaborn ;Matplotlib; Pycharm
poudyalanil/heart-disease-prediction
Heart Disease Prediction using KNeighborsClassifier and RandomForestClassifier
raghavendranhp/Resume_screening
this project utilizes Python for the screening of resumes. It involves data cleaning, visualization, and machine learning techniques to categorize resumes into different job categories.The project achieves high accuracy using a machine learning algorithm, showcasing its effectiveness in automating the resume screening process.
ChaitanyaC22/Fraud_Analytics_Credit_Card_Fraud_Detection
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
saitharun24/Resume_Screening
This is a Machine learning project for screening of resumes based on the type of job and the content with the help of NLP techniques.
sakshigupta08/Prediction-of-Heart-Disease
A Simple Machine Learning project in which the Prediction of Heart Disease is made using KNeighborsClassifier
aiyub645/Heart-Disease-Prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
akhil838/FREP_scikit-learn
A modern GUI Based Face Recognition and Emotion Predictor using Machine Learning
Candongo-Dev/Machine-Learning_Project-Heart-Disease-Dataset
Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.
EdemGold/Heart-Disease-Prediction
This is a model which predicts if a person has a heart disease or not
KarthikMurugadoss1804/Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
mb16biswas/fullstack_heart_discease_prediction_app
It is a full stack ml app , compared multiple ml models(KNeighborsClassifier, LogisticRegression, RandomForestClassifier ) , later deploy the best model using flask , and the frontend is created with react.js
mdaiyub/Heart-Disease-Prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
mdaiyub/House-Price-Prediction
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
Palak-15/Gender_classifier
Predict the best classifier for the given data.
peijin0405/Machine-Learning-Analysis-of-International-Student-Mobility
This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.
Safaa-p/Telecommunication-churn-prediction
Predicting the churn of telecommunication custumers
SINGHxTUSHAR/AutoMark
This is a Smart Attendance System designed using a pre-trained model called Haar-Cascade Classifier, OpenCV and other various Dependencies to mark the attendance in a smarter way and saves the lecture time.
ThinamXx/BreastCancer_Wisconsin_Diagnostic
In this repository, I have implemented KNeighborsClassifier to classify the Breast Cancer: Malignant or Benign.
zhangchicheng/Machine-Learning-in-Numpy
Implement Basic Machine Learning Algorithms from Scratch
AhmadSaad310/Electronic-Music-Classification-ML
Electronic Music Classification ML
AhmadSaad310/ML-Drug-Classification
Machine Learning Drug Classification
audrbar/ml-classification
Classification Methods in Machine Learning
Biswas-N/Cuisine-Predictor
Cuisine Predictor is a python based tool which uses LinearSVC and kNeighborsClassifier to predict the cuisine and similar dishes from Yummly catlog.
mdhabibi/Capstone-Project-IBM
A data-driven project to predict the success of Falcon 9 rocket landings, crucial for cost analysis and competitive strategy in the space industry. Involves data manipulation in Pandas, JSON data processing, and insightful analysis using Python.
ms-daniel/Exercicios-Inteligencia-Artificial
Base de dados que será utilizada para treinamento de uma rede perceptron.
ms-daniel/II-Projeto-IA
Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.
muhammad3245571106/Student-Grade-Prediction
This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.
nirmalyabag20/Diabetes-Prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
prathameshbelurkar/Heart-Disease-Prediction
Python-based machine learning and data science libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes
sanketmaneDS/KNN
This repository contains introductory notebooks for KNN algorithm
Waseekk/Machine-Learning_Deep-Learning
Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀