Machine-Learning-Regression

It is a topcoder challenge

Solve the problem

Introduction

What is a Regression Problem? A Regression Problem is when an output/target variable is real or continuous value. Regression is supervised machine learning technique which is used in prediction of these continuous variables such as height, salary & house price😉 too.

So what exactly we are trying to do? We are trying to : Predict a Target Using some features

Now let's come to the competion problem statement

Challenge Objectives

In context of the details shared above via the Project Background, in this challenge we are looking to introduce a straightforward regression practice problem.

The dataset has been shared in the challenge forum. There are 45 features in the dataset, and one regression label (i.e. it's a single-label prediction challenge, not multi-label)

Within this goal the following are the targets:

Train a model, using the file train.csv - The train.csv file can be found in the challenge dataset folder in the forum. That file should be used to train a machine learning model. Here the last (right-most) column in the file is the label, and all other columns are features Using the trained model, predict regression labels for test_x.csv - The test_x.csv file contains the test dataset. It does NOT contain the labels, and hence the regression labels need to be predicted.