CS760: Machine Learning
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Updated
Apr 17, 2019 - Python
CS760: Machine Learning
Data Mining on Amazon Fine Food Reviews Dataset. It also depicts a detailed comparative analysis of accuracies in various ML-Models.
KNN problem in Celestial Coordinates System & Angular Distance Metrics
knn algorithm on titanic passengers list
Basic Machine Learning to predict job salary
Implementation of K-Nearest Neighbours (KNN) from scratch
Most Favourite ML Algorithm Coded from Scratch using Python
Movie Recommendation System based on K-nearest neighbours accelerated using GPU
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
in this project, logistic regression, KNN, classification trees, random forests and neural network were used.
Análise de classificação utilizando o algoritmo k-NN no conjunto de dados Iris e analise de regressão utilizando o algoritmo k-NN no conjunto de dados do setembro amarelo
Project using Model Based and Memory Based Algorithm to predict rating for items for users. Recommends 5 movies based off other users previous ratings.
Repositorio de la materia Inteligencia Artificial. Trabajos practicos y Redes Neuronales profundas.
E farming complete support system for Smart Agriculture - Research Paper
The K-Nearest Neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used for both classification and regression tasks.
in this repository i am going to perform classification with the help of KNN on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e KNN classification .
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