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1. Deep-Learning-Methods-on-EEG-Recordings-to-Predict-Epileptic-Seizures Deep-Learning-Methods-on-EEG-Recordings-to-Predict-Epileptic-Seizures Public

   We try to detect the epilepsy using the EEG Signal Recordings and classifying them using pre-trained CNN models between preictal and interictal classes.

   Jupyter Notebook 4 1

2. CNN-Segmentation-Models-and-Microscopy-Image-Detection-for-Sole-Neural-Cell CNN-Segmentation-Models-and-Microscopy-Image-Detection-for-Sole-Neural-Cell Public

   The model is used to detect distinct objects in biological neural cell images. The model successfully depicts delineate cells in neural images

   Python 1

3. Diagnostic-Analysis-of-Breast-Cancer-using-Machine-Learning-Algorithms Diagnostic-Analysis-of-Breast-Cancer-using-Machine-Learning-Algorithms Public

   Using certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer.

   Python 2

4. Expression-quantitative-trait-loci-eQTL-for-Single-and-Meta-Analysis-of-Brain-Tissue Expression-quantitative-trait-loci-eQTL-for-Single-and-Meta-Analysis-of-Brain-Tissue Public

   An eQTL is a locus that explains a fraction of the genetic variance of a gene expression phenotype. This code allows for eQTL analysis of single tissue or combining tissues into a meta-analysis.

   R 2

5. Speech-Data-Analysis-Methodology-to-Diagnose-Parkinson-Using-Various-ML-Algorithms Speech-Data-Analysis-Methodology-to-Diagnose-Parkinson-Using-Various-ML-Algorithms Public

   Parkinson's disease data analysis from UCI machine learning repository dataset

   2

6. Utilizing-Machine-Learning-and-Image-Processing-to-Automate-Brain-Tumor-Detection-Process Utilizing-Machine-Learning-and-Image-Processing-to-Automate-Brain-Tumor-Detection-Process Public

   We aim to build a CNN architecture which gives higher accuracy compared to the existing and standard models. (Custom Model) Train Accuracy: 82.2% Test Accuracy: 77.46%

   Jupyter Notebook 1