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kiranpathak-dev/README.md

Hello, I'm Kiran! πŸ‘‹

I'm passionate about extracting insights from data, untangling intricate problems, and driving decisions backed by data-driven analysis.

Skills and Tools

  • Programming Languages: Python
  • Data Manipulation: Pandas, Numpy, Scipy
  • Data Visualization: Matplotlib, Seaborn
  • Statistical Analysis: statsmodels
  • Machine Learning: scikit-learn
  • Machine Learning Models: Linear & Logistic Regression, Naive Bayes, Decision Trees, Random Forest, AdaBoost, XGBoost
  • Deep Learning Frameworks: TensorFlow, Keras
  • Recommender Systems: Collaborative Filtering, Content-Based Filtering, Hybrid Recommender Systems

How I Can Help

  • πŸ’‘ Provide insights into complex datasets.
  • πŸ“ˆ Craft visualizations to communicate data trends.
  • πŸ€– Develop machine learning models for predictive tasks.
  • πŸ“Š Assist with statistical analysis and hypothesis testing.

Let's Connect

I'm a strong believer that every dataset has an untold story hidden within, just waiting for someone curious to uncover it. With excitement and curiosity, I eagerly dive into each data-driven journey, ready to weave fascinating stories from the intricate details found within the data.

Pinned Loading

  1. ride-fare-predictor ride-fare-predictor Public

    Jupyter Notebook

  2. user-churn-prediction user-churn-prediction Public

    Jupyter Notebook

  3. video-claim-classification video-claim-classification Public

    Jupyter Notebook

  4. employee-retention-prediction employee-retention-prediction Public

    Jupyter Notebook

  5. movie-recommendation-system movie-recommendation-system Public

    Jupyter Notebook 1

  6. cyclistic-bike-share-analysis cyclistic-bike-share-analysis Public

    Jupyter Notebook