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course-dbt

Analytics engineering with dbt - projects and developer environment

data_mine_journal

In 2003, I began my practice of journaling: writing down my thoughts, plans, fears, and introspections into a simple text file. Since then, I've written 631,597 words into 787 total journal entries, spanning 17 years. Journaling is an invaluable tool to better understand one's own mind: to analyze decision making patterns, identify trends, and find purpose in this confusing world. Over the years, I've conducted plenty of ad-hoc deep-dives into my journal. For example, when recovering from an injury, I used my journal to identify triggers that caused aggravation and plotted those over time to better understand how my recovery process was being shaped by my behavior. What if there was a way to do this type of analysis programmatically? Luckily, there is - it's called Natural Language Processing - and there are plenty of libraries that allow us to parse and analyze vast amounts of text. We will use TextBlob, a popular python NLP library built on top of NLKT and Pattern, to calculate the following: Descriptive statistics: words per year, entries per year, overall words. Most common words using word clouds and N-gram analysis (combinations of words) Parts of Speech tagging (Noun, verb, adjective).  Sentiment polarity analysis - how has the tone (positive/negative) changed over time?

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

diabetes_analytics

webscraping_analysis_esl_private_classes_in_spain

Understand the competitive landscape of any industry by analyzing publically available data. The following is a case study that examines the Spanish ESL market using the most popular private teacher website.