Piyush Bhardwaj's repositories
EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
Breast-cancer-diagnosis-using-Machine-Learning
Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, 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 are used.
Wine-classification-using-KNN-and-SVM-classifier
This project aims to use modern and effective techniques like KNN and SVM which groups together the dataset and providing the comprehensive and generic approach for recommending wine to the customers on the basis of certain features.
Electronic-code-lock-with-multiple-user
Electronic code lock with multiple user ID and password system using 8051 microcontroller, which provides control to unlock the lock or door.This system is a Password based electronic Lock System using 8051 Microcontroller, wherein once the correct ID is entered and then the code or password is entered, the lock is opened Again, for the next user the ID and password is required to enter.
Histogram-Equalization-For-Gray-scale-Image-With-ROI-Selector
Histogram equalization is the method where all gray levels contains ideally equally number of pixels. Histogram equalization increases the dynamic range of the histogram of an image. OpenCV library for Python is used to equalize the input image. Histogram equalization is also done for the required region of interest (ROI).