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Achievement: Pull Shark
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anirudh4git/README.md

Hi there 👋

It's not about me, it's about the data.

  • Well versed with major ML algorithms: Imbalanced Classification, Recommender Systems, NLP, Supervised, Unsupervised etc.

  • My strongest suits are : Inferential Statistics, End to End Model Management, Business Accumen.

  • Currently, focussed on learning MLOps, Big data, AWS, Deployment etc.

  • You can reach me out on: anirudh31ajm@gmail.com

  • I am open to collaboration. Ping me if there's something interesting we can work on.

Connect with me:

fahad-m-469520188/

Languages and Tools:

python cplusplus d3js java mongodb mysql oracle postgresql pytorch

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  1. Mobile_Price_Range_Prediction Mobile_Price_Range_Prediction Public

    Multi-class Classification Project. Implemented 7 different models and compared 5 different classification metrics.

    Jupyter Notebook

  2. Insurance_Decisioning Insurance_Decisioning Public

    Implemented 4 classification algorithims for doing insurance decisioning. Used SHAP for model interpretability.

    Jupyter Notebook

  3. Zomato-Restaurant-Clustering--Sentiment-Analysis Zomato-Restaurant-Clustering--Sentiment-Analysis Public

    Divided restaurants into segments using clustering techniques(PCA for visualtisations also) and also did sentiment analysis for the reviews.

    Jupyter Notebook

  4. Book-Recommender-System Book-Recommender-System Public

    Book recommendation system for amazon customers using memory and model based collaborative filtering.

    Jupyter Notebook

  5. Capstone-EDA-World-Bank-Analysis Capstone-EDA-World-Bank-Analysis Public

    Analysing various education indicators across the globe.

    Jupyter Notebook

  6. Repository-for-different-functions Repository-for-different-functions Public

    List of functions that I created and found useful.

    Jupyter Notebook