Topic: knearest-neighbor-classification Goto Github
Some thing interesting about knearest-neighbor-classification
Some thing interesting about knearest-neighbor-classification
knearest-neighbor-classification,This Repository contains cognitiveai class's all practice labs.
User: adityasangle
knearest-neighbor-classification,What is knn? How is knn done? Why is knn needed?
User: adotg
Home Page: https://adotg.github.io/knn-what-how-why/
knearest-neighbor-classification,K-nearest neighbors (KNN) is a type of supervised learning algorithm used for both regression and classification. KNN tries to predict the correct class for the test data by calculating the distance between the test data and all the training points. Then select the K number of points which is closet to the test data.
User: anandanraju
knearest-neighbor-classification,Detailed Data Science using Python-Jupyter Notebook ( Data Analysis using Pandas and NumPy, Visualization using plotly express, Exploratory Data Analysis, Supervised ML models: Linear Regression, KNN, Logistic Regression, Support Vector Machine, Decision Trees Ensemble Models: Voting Bootstrap/ Bagging Aggregation, Unsupervised: K-Means
User: ashu-2808
knearest-neighbor-classification,Scripts for machine learning algorithms in MATLAB/Octave and python
User: bharatsikka
knearest-neighbor-classification,A K Nearest Neighbors classifier developed from scratch for self-learning purposes. Accuracy is off the charts, since we have full control on the algorithm.
User: bobbyrathoree
knearest-neighbor-classification,๋น ๋ฐ์ดํฐ ๋ถ์์ ์ด์ฉํ ์๋ฌผ ๋ฐ์ดํฐ ๋ถ์
User: boorooksus
knearest-neighbor-classification,This repository contains a project that demonstrates how to perform sentiment analysis on Twitter data using Apache Spark, including data preprocessing, feature engineering, model training, and evaluation.
User: burhanahmed1
knearest-neighbor-classification,The project discusses using machine learning to predict doctoral program admissions and compares the performance of Logistic Regression and KNN models, finding that KNN outperforms Logistic Regression.
User: chinmoyt03
knearest-neighbor-classification,To check the data belongs to which class of Iris plant. (Famous data Set: 'Iris.csv')
User: hassaniftikhar24
knearest-neighbor-classification,No amount of theory can replace hands-on practice. Textbooks and lessons can lull you into a false belief of mastery because the material is there in front of you. But once you try to apply it, you might find that itโs harder than it looks.๐ฉโ๐ฌ๐๐
User: hbuddana
knearest-neighbor-classification,Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department
User: jspano95
knearest-neighbor-classification, MSDA Program Portfolio
User: michaelc-lawson
knearest-neighbor-classification,Esse pequeno projeto tem como objetivo fazer testes de acurรกcia com rede neural com apenas um neurรดnio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.
User: ms-daniel
knearest-neighbor-classification,DataSet builder with scraping and data warehouse analysis
User: nemeslaszlo
knearest-neighbor-classification,An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
User: pragmaticpython
knearest-neighbor-classification,A school machine learning project based on the Knearest neighbours model
User: rcode879
knearest-neighbor-classification,Data Modelling on 2018 US midterm Election Data and US Demographic Data. Creating regression, classification and clustering models.
User: samujjwaal
knearest-neighbor-classification,knn implemented on a dataset from kaggle
User: shahriarearaf
knearest-neighbor-classification,Machine Learning Models
User: shushantkumar
knearest-neighbor-classification,Predicting the results of the given transactions by classification
User: smh997
knearest-neighbor-classification,Real-Time spontaneous abortion prediction and Health assessment of Pregnant women using Machine Learning and IoT.
User: subhailams
knearest-neighbor-classification,Simple ML models to understand and practice the basic ML concepts
User: tonumoy
knearest-neighbor-classification,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
User: umangrmehta
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