rajatsharma369007/Polynomial_Regression_using_Scikit_Learn

Stars
1
Language
Jupyter Notebook
Created about 6 years ago
Updated almost 6 years ago

rajatsharma369007/Polynomial_Regression_using_Scikit_Learn

rajatsharma369007

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Use sklearn's PolynomialFeatures class to extend the predictor feature column into multiple columns with polynomial features

designing-hr-db

In this project, I have designed, built, and populated a database for the Human Resources (HR) Department of a fictitious company

blog-codes

This repo contains codes, notebooks, and test done for the medium blog post

Jupyter Notebook

electric-skateboard

It was a personal project which was later selected for demonstration in TechExpo, IIT Guwahati and Missamari Military Exhibition in Assam. The project was to develop an Electric Skateboard which can be controllable via mobile phone.

Titanic_Survival_Exploration_with_Decision_Trees

Implemented the model using Scikit Learn to create a decision tree to explore the survival of the people in titanic accident

Jupyter Notebook

automatic-irrigation-system

The system consists of YL-69 moisture sensor, 8051 microcontroller, and water pump. The system is supposed to maintain the moisture level of soil at a certain threshold level. The project was a part of CO306 Embedded System course, under the guidance of Mrs. Sanghamitra Nath.

evaluate-human-balance

operationalize-ML

In this project, I have used Azure to configure a cloud-based machine learning production model, deploy it, and consume it.

Jupyter Notebook

invoice-scraping

Robot process automation that helps to scrape the data from the email attachment (PDF invoices) and then stores it in more structured way

DBMS-assignment

The system consists of combination of forms, where one can retrieve the information pertaining extracurricular activities of students of Tezpur University. The project was a part of CO302 Database Management System Course, under the guidance of Dr. Sarat Saharia.