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 Stupid Text Classifier
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)
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)
Menggunakan 5 variabel berkorelasi tinggi terhadap label target sehingga dapat menaikkan akurasi
Predicting Car Prices using KNN model
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 machine learning alogrithm that recognises webcam images, in javascript
Starting with Machine Learning (On-Hold)
Small machine learning experiments
User segmentation using a sort of classifiers (some quite uncommon like the Fuzzy K-Nearest Neighbours).
🔵/🔺 🏦 Classification task with "Bank Additional Full" dataset
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