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chiragdaryani/README.md

Hi there, I'm Chirag 👋

  • 💼 I am a Data Scientist with expertise in developing predictive models and extracting insights from complex data.
  • 🎓 I graduated with a Master's degree in Computer Science from the University of Alberta.
  • 📍 I'm currently based in Toronto, Canada 🇨🇦
  • 💬 I love having great conversations, trying new foods, and drinking coffee while reading or learning something new.
  • 🤝🏻 I'm always open for collaborations in the domains of data science and machine learning, so if you have any interesting project ideas or just want to chat, feel free to reach out to me at [email protected]. I'd love to hear from you!

You can also find me on:

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  1. fake-review-detection fake-review-detection Public

    Fake review detection on the Yelp restaurant review dataset by exploring rule-based, machine learning, and aggregation-based approaches.

    Jupyter Notebook 3

  2. membership-inference-attack-NN membership-inference-attack-NN Public

    Membership Inference Attack on a Multi-Class Image Classification Neural Network Model

    Jupyter Notebook 1

  3. logistic-reg-from-scratch logistic-reg-from-scratch Public

    In this project, we will implement the softmax regression for multi-class classification from scratch on the MNIST dataset.

    Python

  4. linear-reg-from-scratch linear-reg-from-scratch Public

    In this project, we will implement gradient descent optimization for linear regression from scratch on the Boston house price prediction dataset.

    Python

  5. naive-bayes-from-scratch naive-bayes-from-scratch Public

    Implementing the Naive Bayes model to classify the relation of a sentence from scratch.

    Python

  6. rating-humor-from-text rating-humor-from-text Public

    SemEval-2020 Task 7 (Assessing Humor in Edited News Headlines) Subtask 1: Predict the mean humor rating for news articles that were edited by replacing a word in their original content.

    Jupyter Notebook