Flight Ticket Price Prediction Hackathon: Use These Resources To Crack Our MachineHack Data Science Challenge
Flight ticket prices are difficult to guess; today we may see a price, but check out the price of the same flight tomorrow, it will be a different story. MachineHack’s latest hackathon gives data science enthusiasts, especially who are starting their data science journey, a chance to learn by trying to predict the prices for flight tickets. In this article, we will learn to prepare the data and build your first machine learning model with a simple approach to solving the Predict Flight Ticket Price Hackathon. We will use Support Vector Regression to predict the flight ticket prices for the given test set. About the Data Set This hackathon is about predicting the ever-varying prices of tickets. The dataset consists of data collected from various sources and includes the following features. Airline: The name of the airline Date_of_Journey: The date of the journey Source: The source from which the service begins. Destination: The destination where the service ends. Route: The route taken by the flight to reach the destination. Dep_Time: The time when the journey starts from the source. Arrival_Time: Time of arrival at the destination. Duration: Total duration of the flight. Total_Stops: Total stops between the source and destination. Additional_Info: Additional information about the flight. Price: The price of the ticket. The training set consists of 10,683 records and the test set consists of 2,671 records. Solving Predict Flight Ticket Price Hackathon https://gist.github.com/analyticsindiamagazine/be2532754986796e0fe9b1aaef8a48ae You can also use the following links to our top tutorials to help you with this challenge: Hands-On Tutorial: How To Use Decision Tree Regression To Solve MachineHack’s New Data Science Hackathon How To Use XGBoost To Predict Housing Prices In Bengaluru: A Practical Guide Hands-on Tutorial On Data Pre-processing In Python Data Preprocessing With R: Hands-On Tutorial Getting started with Linear regression Models in R How To Create Your first Artificial Neural Network In Python Getting started with Non-Linear Regression Models in R Beginners Guide To Creating Artificial Neural Networks In R
Flight ticket prices are difficult to guess; today we may see a price, but check out the price of the same flight tomorrow, it will be a different story. MachineHack’s latest hackathon gives data science enthusiasts, especially who are starting their data science journey, a chance to learn by trying to predict the prices for […]
Prepare the data and build your first machine learning model with a simple approach to solving the Predict Flight Ticket Price Hackathon by MachineHack.
["Data Science", "Hackathon", "Machinehack", "Support Vector Machine"]
["data science", "machine learning", "AI", "Machinehack", "Support Vector Machine", "neural network", "Git", "Hackathon", "Python", "XGBoost", "analytics", "Data Science", "GitHub", "R"]
["AI", "machine learning", "neural network", "data science", "analytics", "XGBoost", "Python", "R", "Git", "GitHub"]
A Computer Science Engineer turned Data Scientist who is passionate about AI and all related technologies. 
Contact: amal.nair@analyticsindiamag.com