This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
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Updated
Nov 22, 2017 - Python
This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
A simple implementation of a weighted k-nearest-neighbour algorithm
The aim is to apply several different supervised machine learning techniques, and see which one yields the highest accuracy. (Python)
Text classification using string kernels with scikit-learn.
Classifying breast cancer using supervised machine learning techniques (logistic regression and k-nearest neighbours)
Predict Air Grade
Creating a Model to predict if a user is going to buy the product or not based on a set of data
MINIST dataset is a database of handwritten digits , classified with 3 models (K nearest neighbor, support vector machine, Artificial Neural Network)
CLASSIFICATION USING K-NEAREST NEIGHBORS (KNN) ALGORITHM. This project is for classifying banknotes using the KNN algorithm.
Solution to the titanic machine learning competition on kaggle
Menggunakan 5 variabel berkorelasi tinggi terhadap label target sehingga dapat menaikkan akurasi
An android application that uses K Clustering, K means, KNN to automate career counseling 🎲 and provides up-to-date data about Pakistani universities. 📈
Predicting Car Prices using KNN model
In this project, Anuran species dataset is provided in order to create predictive models as well as to test and predict based on the dataset.
The objective of this study is to predict the max and min temp based on several parameters and represent it in a visual form.
This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.
A powerful and rapid data interpolator.
Simple algorithm I used for clustering data in another project.
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