Discover @salik-a Open Source projects

Alper Salik (@salik-a)

salik-a

Stars
11
Global Rank 920,445 (Top 32 %)
Followers 14
Following 9
Registered about 5 years ago
Most used languages

HTML
30.0 %

Python
20.0 %

Java
20.0 %

JavaScript
20.0 %

Swift
10.0 %
Location 🇹🇷 Turkey
Country Total Rank 7,035
Country Ranking

Swift
730

HTML
1,328

Java
2,608

Python
2,783

JavaScript
4,626

kodluyoruzhtmlbolumsonucalismasi

kodluyoruz html derslerinin bölüm sonu çalışmasıdır

kodluyoruzreactodev1

Numerical-Integration

SwiftScanner

Solving-Nonlinear-Equations-with-Secant-and-Bisection-method

kodluyoruzcssodev2

Kodluyoruz frontend eğitim serisi css 2.ödevi

kodluyoruzjsodev3

Kodluyoruz frontend eğitim serisinin 3.javascript ödevi

JavaScriptToDoList

Kodluyoruz frontend eğitim serisi javascript ödev 2 To Do List

Speech_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.

kodluyoruz_java_-devler3