CihanBosnali/Machine-Learning-without-Libraries

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Updated about 5 years ago

CihanBosnali/Machine-Learning-without-Libraries

CihanBosnali

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Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work

Neural-Network-without-ML-Libraries

Neural Network is a technique used in deep learning. I created a neural network without using any libraries except numpy.

Jupyter Notebook

Support-Vector-Machine-without-ML-libraries

SVM is a machine learning technique and I wrote a SVM algorithm using no ML libraries such as Scikit Learn etc. I only used numpy for math and matplotlib for graphs

Jupyter Notebook

K-Nearest-Neighbors-without-ML-libraries

K-NN is a basic classification algorithm that can classify a data using its distance to other data points. I wrote a KNN algorithm without using any Machine Learning libraries such as scikit-learn etc.

Jupyter Notebook

Maze-Solver-Vision

Solving maze problems from images autonomously.

Learning-Java

Hey everyone! I started to learn a new programming language: Java. I'm sharing the exercises that I wrote while learning.

Real-Time-Cars-Classification-Using-Keras

I trained a custom image classifier using Cars Classification Dataset from Stanford and used in real-time.

Learning-Tensorflow

This repo contains Jupyter Notebooks which I created while learning Tensorflow. I update this repo when I learn new Tensorflow Features

Jupyter Notebook