A brief description of the project, highlighting its main functionalities, objectives, and key features.
- Datasets: Contains datasets related to gaming analytics, such as World of Warcraft Avatars, DOTA2 Matches, and Steam Reviews. Each dataset folder includes a README and any necessary setup scripts.
- Integrations: Demonstrates integrations with platforms like Playfab and GameAnalytics, including example SQL files and pipeline configurations.
- Accelerators: Provides ready-to-use resources for:
- Player Behavior Segmentation: Segmenting players based on behaviors
- Player Churn Analysis: Predicting player retention and churn
- Sentiment Analysis for Steam Reviews: Analyzing user feedback on game reviews
- Game Dialogue Analysis: Processing in-game dialogues
- Toxicity Detection in Dota2 Match Chats: Identifying and filtering toxic content
- Genie Spaces for Games: A feature to enhance game engagement through personalized spaces
https://docs.databricks.com/en/repos/git-operations-with-repos.html
The project relies on various open-source libraries for data processing, visualization, and machine learning. Below is the list of libraries with descriptions, licenses, and source links:
| Library | Description | License | Source |
|---|---|---|---|
| IPython | Interactive computing and development environment | BSD License | IPython |
| demoji | Demojification: removing emojis from text | MIT License | demoji |
| hyperopt | Optimization over complex search spaces, primarily for ML tuning | BSD License | hyperopt |
| json | JSON encoder and decoder | Python License | json |
| matplotlib | Plotting and visualization library | PSF License | matplotlib |
| mlflow | Experiment tracking and model management for ML projects | Apache 2.0 | mlflow |
| numpy | Core library for scientific computing with Python | BSD License | numpy |
| openai | API access to OpenAI's language models | MIT License | openai |
| os | Operating system interface, part of the Python Standard Library | Python License | os |
| pandas | Data manipulation and analysis library | BSD License | pandas |
| pyspark | Interface for Apache Spark in Python | Apache 2.0 | pyspark |
| re | Regular expressions, part of the Python Standard Library | Python License | re |
| requests | HTTP library for Python | Apache 2.0 | requests |
| seaborn | Statistical data visualization based on matplotlib | BSD License | seaborn |
| shap | SHAP (SHapley Additive exPlanations) for model interpretability | MIT License | shap |
| sparknlp | Natural language processing library for Spark | Apache 2.0 | sparknlp |
| sys | System-specific parameters and functions, part of Python Standard Library | Python License | sys |
| unicodedata | Unicode Database, part of the Python Standard Library | Python License | unicodedata |