This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
-
Updated
Nov 22, 2017 - Python
This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
Text classification using string kernels with scikit-learn.
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)
Classifying breast cancer using supervised machine learning techniques (logistic regression and k-nearest neighbours)
A collection of algorithms used in machine learning. I'm going to add to this repo whenever I have time.
Implementation of K-Nearest Neighbour Algorithm on iris dataset from scratch.
3 ML methods from scratch to classify urban sounds
Starting with Machine Learning (On-Hold)
This project aims to develop an AI/ML model to predict loan repayment failure using a historical dataset of borrowers, their features, and loan characteristics. The problem is significant as it can help financial institutions identify potential defaulters and take preventive measures to minimize losses.
This project was developed for the CSC-481: Artificial Intelligence class at Southern Connecticut State University. The purpose of this assignment was to use the K-Nearest Neighbor classifier, as well as Decision Tree classifier, to create AI models that could identify the gender of an individual from the provided face dataset.
Implementation of various machine learning algorithms
Open-source vector database built to embedding similarity search
Python implementation of different clustering algorithms.
Handwritten digit recognition using K-Nearest Neighbours
An OCR system trained with manually generated handwriting datasets with the purpose to classify handwritten text to digital text.
Homebrew k-nearest neighbors algorithm (k-NN) vs scikit-learn's built-in KNeighborsClassifier on the Iris flower data set
Add a description, image, and links to the k-nearest-neighbours topic page so that developers can more easily learn about it.
To associate your repository with the k-nearest-neighbours topic, visit your repo's landing page and select "manage topics."