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  • San Jose, California

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markmacwan/README.md

Hello!

Peek 2020-11-11 15-53

  • 🎓 Master's graduate with Business Acumen and Technical Backgroud.

  • 🤝🏻 Business Expertise: SDLC, Agile and WaterFall Methods, IT Project Management.

  • 💻 Worked/familiar with programming languages: Python/ R/ C/ Java.

  • ⚡ Worked/familiar with tools/libs: SciKit Learn/ Tensorflow/ Keras/ Pytorch/ NLTK/ Flask/ Tableau/ PowerBI.

  • 🔭 I’m currently working on an Computer Vision and Natural Language Processing projects on various open source datasets.

  • 🤝🏻 I'm open for collaborations in Data Science and Machine Learning domains.

  • 🎯 Goal (2020): Contribute openly to Data Science and Machine Learning community

  • 💬 Ask me anything about Gaming...

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  1. Deploying-NLP-Classification Deploying-NLP-Classification Public

    Deployed Spam and Ham classification WebApp using Natural Language Processing and Naive Bayes Classifier on Flask and Heroku Cloud Platform.

    Python 2 1

  2. Math-in-Machine-Learning Math-in-Machine-Learning Public

    Jupyter Notebook 1

  3. Python-Basics Python-Basics Public

    Jupyter Notebook 3

  4. bank-customer-classification-ANN bank-customer-classification-ANN Public

    The data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or he continues to be a …

    Jupyter Notebook 1

  5. Heart-Failure-Prediction Heart-Failure-Prediction Public

    12 clinical features for predicting death events.

    Jupyter Notebook 2

  6. Early-Stage-Diabetes-UCI-ML Early-Stage-Diabetes-UCI-ML Public

    Data collected from the patients of Sylhet Diabetes Hospital, Bangladesh.

    Jupyter Notebook 2