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You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in deep learning and are looking to expand their skill set before trying a featured competition.

This is not my personal dataset. This is the dataset from one of the competitions from the competitions of the HackerEarth.

                                               ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3311492%2Fab1213a9850f6577a37e935f6b643b47%2F337.jpg?generation=1590484580150033&alt=media)                          ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3311492%2F1512a1d48225abd3c9725654860cf9a4%2F349.jpg?generation=1590487551380131&alt=media) 

Competition Description

PROBLEM STATEMENT This International Dance Day, an event management company organized an evening of Indian classical dance performances to celebrate the rich, eloquent, and elegant art of dance. After the event, the company plans to create a microsite to promote and raise awareness among people about these dance forms. However, identifying them from images is a difficult task.

You are appointed as a Machine Learning Engineer for this project. Your task is to build a deep learning model that can help the company classify these images into eight categories of Indian classical dance.

Note

The eight categories of Indian classical dance are as follows:

Manipuri Bharatanatyam Odissi Kathakali Kathak Sattriya Kuchipudi Mohiniyattam

DATA DESCRIPTION

The data folder consists of two folders and two .csv files. The details are as follows:

train: Contains 364 images for 8 classes ['manipuri','bharatanatyam','odissi','kathakali','kathak','sattriya','kuchipudi','mohiniyattam'] test: Contains 156 images train.csv: 364 x 2 test.csv: 156 x 1