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kodluyoruzhtmlbolumsonucalismasi
kodluyoruz html derslerinin bölüm sonu çalışmasıdırkodluyoruzreactodev1
Numerical-Integration
SwiftScanner
Solving-Nonlinear-Equations-with-Secant-and-Bisection-method
kodluyoruzcssodev2
Kodluyoruz frontend eğitim serisi css 2.ödevikodluyoruzjsodev3
Kodluyoruz frontend eğitim serisinin 3.javascript ödeviJavaScriptToDoList
Kodluyoruz frontend eğitim serisi javascript ödev 2 To Do ListSpeech_Recognition
This code takes 4 seconds voice for finding 5 commands that 'Jarvis', 'Turn on the television', 'Turn on the ligths', 'Turn of the lights','Tell the air temperature'. Then take MFCC of this voice and use dynamic time warping algorithm to compare with recorded voices and find the closest command.k-NN-Classification-Algorithm
In this project, I will implement the k-NN classification algorithm and test it on the Iris dataset. k-NN classification method have two input parameters: Number of Neighbors(k), Distance Metric(Euclidean or Manhattan distance) Iris dataset contains three flowers and each flower is represented by four features: 1=sepal length, 2=sepal width, 3=petal length, and 4=petal width. In this assignment, I used the first and the fourth feature dimensions. I put first 30 samples from each flower class into the training set 20 samples into the test set. I organize iris data and change iris names with 0,1,2. Then I estimate distances between test set and training set and find minimum distances as k number and find its index to find which samples are closest. Then I find iris names and estimate accuracy rate.Love Open Source and this site? Check out how you can help us