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CLUSTER - DS Club

Collaborative Learning Using Statistical Trends & Exploratory Research

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๐Ÿš€ Welcome to CLUSTER ๐Ÿš€

Collaborative Learning Using Statistical Trends & Exploratory Research

The Data Science Revolution Has Begun.
โšก Electrifying collaboration. ๐Ÿ” Explosive exploration. ๐Ÿค Fearless innovation.


๐ŸŒŒ What is CLUSTER?

CLUSTER is not just a data science club.
It's a movementโ€”a galaxy where statistics meets storytelling, models meet madness, and code meets creativity.
We don't follow the dataโ€”we launch into it.


๐ŸŒŸ Core Pillars

๐Ÿ’  Pillar ๐Ÿ”ฅ Description
๐Ÿค Collaboration Hackathons, challenges, and collective brainwavesโ€”because data loves company.
๐Ÿ“Š Data Exploration From cleaning to compelling storytellingโ€”we find gold in the noise.
๐Ÿง  Learning Labs Learn by doing: workshops, demos, and deep-dives with the best in the biz.
๐Ÿš€ Innovation Tools, models, visualizationsโ€”you bring the chaos, we create impact.

๐Ÿ’ผ Projects & Initiatives

Where ideas detonate into solutions:

  • ๐Ÿ” Data Discovery Diaries โ€“ Exploratory adventures through complex datasets
  • ๐Ÿค– ML Missions โ€“ Build and deploy real-world AI models
  • ๐ŸŒ Open-Source Lab โ€“ Create, share, and collaborate
  • ๐Ÿงฉ Cluster Quests โ€“ Monthly themed data battles with glory & badges
  • ๐Ÿ“ˆ Viz Vortex โ€“ Data meets design in beautiful dashboards

๐Ÿš€ Check out our Repositories ยป


๐Ÿ› ๏ธ Tech Stack

Category Tools
๐ŸŒ Core Languages ๐Ÿ ๐Ÿ“Š ๐Ÿ’พ โšก โš™๏ธ
Python, R, SQL, Julia, Scala
๐Ÿ“š Libraries & ML ๐Ÿ“ฆ ๐Ÿง  ๐Ÿ” ๐Ÿš€ ๐Ÿค– ๐Ÿงฌ
pandas, NumPy, scikit-learn, matplotlib, seaborn, Plotly, XGBoost, LightGBM, TensorFlow, PyTorch, Keras
๐Ÿ“ˆ Visualization ๐Ÿ“Š ๐Ÿ“‰
Power BI, Tableau, Looker, Superset, Dash, Bokeh
๐Ÿง  AI & LLMs ๐Ÿง  ๐Ÿ—ฃ๏ธ ๐Ÿ’ฌ ๐Ÿฆ™
Transformers (HuggingFace), OpenAI, LangChain, LlamaIndex, BERT, GPT, T5, Claude, Cohere, LLaMA
โš™๏ธ MLOps & Deployment ๐Ÿณ ๐Ÿšข โ˜๏ธ ๐Ÿงช ๐Ÿงฐ
Docker, Kubernetes, Flask, FastAPI, Streamlit, Gradio, BentoML, MLflow, DVC, Weights & Biases
๐Ÿ”ง Engineering & ETL ๐Ÿ”ฅ ๐Ÿ’จ ๐Ÿงฌ ๐Ÿ”
Apache Spark, Kafka, Airflow, dbt, Delta Lake, Snowflake, Airbyte, Fivetran
๐Ÿ’พ Storage & DBs ๐Ÿ—„๏ธ โ˜๏ธ ๐ŸงŠ
PostgreSQL, MySQL, MongoDB, SQLite, Redis, BigQuery, Redshift
โ˜๏ธ Cloud Platforms ๐ŸŒฉ๏ธ ๐Ÿง  ๐Ÿงฎ
AWS (S3, EC2, SageMaker), GCP (BigQuery, Vertex AI), Azure ML, Databricks, Kaggle, Hugging Face, Google Colab
๐Ÿ“Š Tracking & CI/CD ๐Ÿ“Š ๐Ÿงช โš™๏ธ
MLflow, W&B, GitHub Actions, GitLab CI/CD, Jenkins
๐Ÿ”„ Data Formats ๐Ÿงพ ๐Ÿ“ฆ ๐Ÿ“‚
Parquet, Avro, ORC, JSON, YAML, Feather, Protobuf


๐Ÿ›ก๏ธ Contribute to CLUSTER

We welcome your magic ๐Ÿช„

๐Ÿšฆ Getting Started

  1. Fork the repo
  2. Clone your forked repo
  3. Create your feature branch (git checkout -b amazing-feature)
  4. Commit your changes (git commit -m 'add amazing feature')
  5. Push to the branch (git push origin amazing-feature)
  6. Open a Pull Request ๐Ÿš€

๐Ÿ’– What You Can Do

  • Improve docs or visuals
  • Add new datasets or models
  • Submit tools, dashboards, or experiments
  • Help triage issues or onboard new members

๐Ÿ“œ Code of Conduct

We are:

  • ๐ŸŒˆ Inclusive
  • ๐Ÿ’ฌ Open to all ideas
  • ๐Ÿšซ Zero tolerance for hate, toxicity, or harassment

Read our full Code of Conduct for more.


๐ŸŒ Community Philosophy

We believe learning is a journey, not a lecture.

Whether you're a beginner or a Kaggle Grandmaster, there's space for you in CLUSTER.
We grow together, celebrate each otherโ€™s wins, and learn through joyful chaos. โœจ


๐Ÿ“ซ Let's Connect


๐ŸŒŸ "Prepare for the unexpected. Embrace the energy. Become part of the legacy."
โ€” The CLUSTER Manifesto


โญ Star us โ€ข ๐Ÿด Fork us โ€ข ๐Ÿ“ข Share us โ€ข ๐Ÿ’ฅ Join the mission!

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