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.
EMG-Signal-Classification
Signal processing and classification based on EMG data gathered from lower limb
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.
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
data-science-from-scratch
code for Data Science From Scratch book
DataCamp
DataCamp data-science courses
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
durgeshmeena
Just an Introduction
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
matplotlib
matplotlib: plotting with Python
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
pymindiff
A Python-package to create fair groups having minimal differences
scikit-learn
scikit-learn: machine learning in Python
serve
Model Serving on PyTorch