There are 0 repository under kneighborsclassifier topic.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Deep Learning; Machine Learning ; Sklearn ; Seaborn ;Matplotlib; Pycharm
Heart Disease Prediction using KNeighborsClassifier and RandomForestClassifier
A Simple Machine Learning project in which the Prediction of Heart Disease is made using KNeighborsClassifier
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.
This is a model which predicts if a person has a heart disease or not
In this project I intend to predict customer churn on bank data.
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.
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.
Predict the best classifier for the given data.
Predicting the churn of telecommunication custumers
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.
In this repository, I have implemented KNeighborsClassifier to classify the Breast Cancer: Malignant or Benign.
Implement Basic Machine Learning Algorithms from Scratch
Estimating the growth or depreciation on exchange rates by using sentiment analysis method from social media comments
A simple machine learning program that use Scikit to predict gender based on the given data
Learn computer vision fundamentals with the famous MNIST data
Predictive analysis on Telco Churn using various ML algorithms
Cuisine Predictor is a python based tool which uses LinearSVC and kNeighborsClassifier to predict the cuisine and similar dishes from Yummly catlog.
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
Document Classification using Python and scikit-learn and nltk
Learning with sklearn diabetes and iris flower dataset, single and multiple linear regression, classification with multi-layer perceptron, kneighbors and support vector machines.
Analysis of Terry Stops in Seattle
Base de dados que será utilizada para treinamento de uma rede perceptron.
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.
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.
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.
This repository contains introductory notebooks for KNN algorithm
It is a classification project that makes use of multiple features like physiological, Environmental and vehicular data to determine whether a driver is alert while driving or not.
Final Data Analytics course project repository where we have implemented Breast Cancer tumor classification into malignant and benign thereby predicting the chance of breast cancer.
K Nearest Neighbours in Python
Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀
This is basic Machine Learning project of Iris Flower Classification
Final assignment of the intelligent agents & searching solutions module of the Artificial Intelligence Diploma (DGTIC - UNAM)
Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.