Onur's repositories

Movement-type-classification-by-using-EMG-data-and-LSTM

I used EMG data of 8 muscles from lower limb to perform task classification. The classification is binary, step-up tasks and the rest of the tasks are aimed to be classified.

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EMG-Signal-Classification

Signal processing and classification based on EMG data gathered from lower limb

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Multiclass-classificaftion-with-high-dimensional-data

In this project I aimed to classify 9 classes with the purpose of minimizing log-loss metric. Dataset contains 103 features with 9 classes. After I preprocessed the data, I tried to apply deep learning algorithms and random forest method. The accuracy was nearly 83%; however the log-loss metric did not decrease below 45% in the results of the test set.

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Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

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data-science-from-scratch

code for Data Science From Scratch book

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DataCamp

DataCamp data-science courses

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datascienv

datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

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durgeshmeena

Just an Introduction

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EEG-DL

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

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matplotlib

matplotlib: plotting with Python

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pymindiff

A Python-package to create fair groups having minimal differences

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scikit-learn

scikit-learn: machine learning in Python

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serve

Model Serving on PyTorch

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