Discover sagihaider/Machine_Learning_Basics Open Source project

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Created about 7 years ago
Updated about 7 years ago

sagihaider

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Single-Trial-EEG-Classification

A versatile signal processing and analysis framework for Motor-Imagery related Electroencephalogram (EEG). It mainly involves temporal and spatial filtering with classification of single trial EEG

MATLAB

COVID_Sentiment_Twitter

Jupyter Notebook

Common-Spatial-Pattern-Algorithm

Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. This algorithm is mainly used in motor imagery based BCI for processing EEG data.

MATLAB

MEGBCI2020

A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface

MATLAB

cheetsheets-ML

Important Cheat Sheets for machine learning and deep learning researchers and data scientists (Python and R)

CE888_2021

Jupyter Notebook

IADS_SC_2023_Python

Jupyter Notebook

IADS_SC_2022_DeepLearning

CE880

DataScience4All

sagihaider.github.io

IADS_SC_2022_TransferLearning

CNN_HA

BootCamp-R

CE880_demo

ArabicSentimentAnalysis_HuggingFace

Jupyter Notebook

R_BootCamp_2023

HousePricePrediction_kaggle

Jupyter Notebook

myJava

This is my 3rd year module

COVID-19_Analysis

Jupyter Notebook

XAI-Gasification-Modelling

Jupyter Notebook

Basic_ML_datasets

Invisibility-Cloak_CW_2021_22

sagihaider

sagihaider/Machine_Learning_Basics

sagihaider

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