DATA DESCRIPTION : The data set contains information on various flights and their prices: 1. Parameters: Airline, source, destination, duration, total stops etc. 2. Price: Price of the flight PROJECT OBJECTIVE : Steps and tasks : 1. Data import and Understanding A. Read the Data.xlsx as Dataframe and import required libraries. B. Check for missing values and print percentage for each attribute. C. Perform univariate and bivariate analysis on the dataset. D. Visualise the correlation matrix of the features with colour coding E. Share insights from the initial data analysis (at least 2). 2. Data preprocessing A. Split the data into X & Y. B. Split the data into training , validation and test with 70:20,10 proportion C. Normalise the training ,validation and test data with appropriate method. D. Transform Labels into format acceptable by Neural Network 3. Model Training & Evaluation using Neural Network A. Design a Neural Network