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.
Examples of using and tuning K Nearest Neighbors
k-Nearest Neighbor classifier on the Breast Cancer Wisconsin Database
Project for course IA006C on machine learning at Unicamp. Breaking captchas with convolutional neural networks.
Predicting quality of white wine using chemical attributes
Prediction of tweet's location and whether it will go viral
Implementing ML algorithms from scratch on company bankruptcy dataset
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