Tugas besar Artificial Intelligence (Fantastic Four)
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Updated
Dec 2, 2015 - Java
Tugas besar Artificial Intelligence (Fantastic Four)
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
K-Nearest Neighbors, Decision Tree, Naive Bayes, Random Forests and Ada-boost.
1-hour ML introduction for colleagues at TrueBlue. KNN and fashion-mnist will be ran by every participant on their laptop, then overview of the dog project and finally an explanation of kernel and how they extract information from images
✔️Repositório do curso de Machine Learning no Iesb
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
To predict whether an employee will leave the company or not based on past data.
I prepared a dataset consisting of faces of my own friends in real-time, trained it using KNN and then tested the algorithm by running it against real-time test data in different lighting conditions.
Build and save K Nearest Neighbors models from .csv files!
My first classification problem solved with logistic regression.
Implementation of KNN and Linear regression from scratch on iris and admission dataset.
Learning is an art, Lets learn Machine Learning.
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