This repository contains the code and data for OASIS INFOBYTE project assignments. The projects covered in this repository are:
-Iris flower classification.
-Car price prediction.
-Unemployment analysis.
-Email spam detection.
-Sales prediction.
-Project Description
Each project is briefly described below:
Iris flower classification This project aims to classify iris flowers into three different species based on their sepal length, sepal width, petal length, and petal width using machine learning techniques.
Car price prediction The objective of this project is to predict the selling price of used cars based on their features such as mileage, engine power, and age using regression techniques.
Unemployment analysis This project analyzes the unemployment rates in different states of the India over a certain period of time and tries to identify the factors contributing to the high unemployment rates in certain states.
Email spam detection The goal of this project is to classify emails as spam or not spam using natural language processing techniques and machine learning algorithms.
Sales prediction This project involves predicting the sales of a particular product based on its past sales data and other related factors.
Author
- Abhay N Pancholi
- abhaynagendrapancholi@gmail.com