Airfoil Noise Prediction (Regression)

[nihal-rao]

Description

Implement any regression model to predict the self noise generated by an airfoil using various features provided.Target output is sound level in decibels.

The dataset can be found here

The given features are:

1.Frequency, in Hertzs. 2.Angle of attack, in degrees. 3.Chord length, in meters. 4.Free-stream velocity, in meters per second. 5.Suction side displacement thickness, in meters.

Details

• Technical Specifications: python, numpy, pandas, scikit-learn
• Type of issue: Single
• Time Limit: 2 days

Issue requirements / progress

• [ ] Train a regression model on the first 1200 samples and report mean squared error on the remaining observations

Resources

• To help you get started, the starter code airfoil_noise_starter_code.ipynb is present in /machineLearning/33
• Jupyter notebooks installation
• Python tutorial
• Pandas tutorial
• Introduction to regression in machine learning
• Scikit-learn Linear Regression
• Scikit-learn Ridge Regression

Directory Structure

Add your solution file to 'machineLearning/33' folder. The path for your solution file should look like this: /machineLearning/33/<your_solution_file>

Note

Please claim the issue first by commenting here before starting to work on it. While submitting a PR, request a review from @nihal-rao Doubts and clarifications are welcome. Happy Coding!

[kampaitees]

I'm solving it

[SaurabhAgarwala]

Closing this as PR #39 resolves it