Garrett Mayock's Data Science

Data Science Work

Hi folks! Here I'll be linking to my profiles on important coding/data science communities as well as the blogs I've posted about my journey learning data science and Python.

The important links:

A portfolio I'm beginning to put together:

  • A vacation planner which uses Natural Language Processing: My Vacation Planner.
  • My general data science / Python blogs:

    1. My very first models - taking a bootcamp and building a tic-tac-toe game
    2. Predicting survival on the Titanic - placing in the top 13% on the Kaggle competition
    3. Combining PDFs using Python and PyPDF2

    My blogs on using Python and data science for forecasting:

    1. Naive Models for Predicting Stationary Time Series Data
    2. Non-naive Models for Predicting Stationary Time Series Data
    3. Linear Regression for Predicting Time Series with Trends
    4. Holt's α,β Model for Predicting Time Series with Trends
    5. Fixing inefficient optimization code in Python
    6. Adjusting Linear Regression Models for Seasonality
    7. Holt-Winters' α,β,γ Model for Seasonal Time Series

    My blogs on using Python for Natural Language Processing:

    1. Natural Language Processing in Python with NLTK: Tokenizers

    I'll update this as things progress!



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