uahmad235 / gaming_data_analysis

Classification & Regression analysis of bitrate prediction and Frame drop rate for Online Gaming Platform.

ML Assignment

1. Project setup:

• Clone the repo using command:

  git clone https://github.com/uahmad235/ml_assg_1.git

• Install all the project dependencies using command:

  cd ml_assg_1 && pip install -r requirements.txt

2. Download and prepare dataset:

• In order to run the classification notebook you need classification dataset. The dataset can be obtained by running following command:

  wget https://www.dropbox.com/s/rzbd2vfgmvd9opw/stream_quality_data.zip?dl=1

• You can unzip the dataset using command:

  unzip stream_quality_data.zip -d src/stream_quality_data_class

• In order to run the regression notebook you need regression dataset. The dataset can be obtained by running following command:

  wget https://www.dropbox.com/s/ggim3akt5yjoexb/bitrate_prediction.zip?dl=1

• You can unzip the dataset using command:

  unzip bitrate_prediction.zip -d src/bitrate_prediction

3. Run Notebooks

• Now you can run jupyter notebook in the current project using:

  jupyter notebook .

• Once notebook is opened, you can navigate to src directory and find two notebooks classification.ipynb and regression.ipynb. Just click on desired notebook and run. Enjoy!

P.S: This code has been tested with python 3.8