Shyamal Krishna Agrawal

Student at IIIT, naya raipur

Studied at IIIT, naya raipur

Studied at D A V public school SECL Korba, Chhattisgarh, India

linked list code in python

It contain basic codes of a linked list to insert delete elements of a linked list and than display it.

Structured Query Language(SQL) code

lab2- contains code for deleting, altering, updating tables

Structured Query Language(SQL) code

lab1- contain codes for creating table.

Principal component analysis code in python

Principal component analysis is a statistical technique that is used to simplify the model by analyzing the interrelationship.

Principal Component Analysis (PCA)

Principal component analysis is a statistical technique that is used to simplify the model by analyzing the interrelationships among a large number of variables and to explain these variables in terms of a smaller number of variables, with a minimum loss of information.

Artificial Neural Network code

Artificial Neural Network is the piece of a computing system designed to simulate the way the human brain analyzes and processes information.

Code for motion detection by PIR sensor

Code for motion detection by PIR sensor and arduino UNO. this code is also generally termed to be the code for smart street light system.

Natural Language Processing (NLP)

Natural Language Processing is used for processing high level language in way that it seems like computer is understanding our language.

Posture Detection System

Code for Posture Detection System or for flex detector. This system is for checking the proper sitting or standing manner if your posture is wrong the buzzer rings up. It comprise of arduino UNO and flex detector.

Gaussian Naive Bayes from inbuilt libraries

Gaussian Naive Bayes made from inbuilt libraries. It is a classification model of machine learning.

Decision Tree Classifier made from inbuilt libraries

Decision Tree Classifier made from inbuilt libraries. It is a classifier model of machine learning.

Recursive Feature Elimination (RFE)

Recursive Feature Elimination (RFE) is a feature that recursively removes features and builds a model using the remaining attributes and calculates model accuracy.