Check out the latest frontier of Big Data Discoveries!
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Exploring Washington State’s Voter Turnout with Machine Learning 2024
Michael Segaline Data Scientist and Media LION be Relevant. August 30, 2024 Research Question: Can an accurate predictive Machine Learning Model be developed from the data. Null Hypothesis H0: The distribution of voter engagement is random. Alternative Hypothesis H1: The distribution of voter engagement is not random. Context: The contribution of this study to the…
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Who is Moving to Washington State: Exploring Immigration 2024
Null Hypothesis H0: The distribution of immigration to Washington is random. Alternative Hypothesis H1: The distribution of immigration to Washington is not random. Context: The contribution of this study to the field of data analytics and the tax payer awareness is attempting accurately forecast immigration to Washington State. With this information a…
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Exploring Washington State’s Electric Vehicle (EV) population 2024
Michael Segaline Data Scientist and Media LION be Relevant. August 3, 2024 The article answers the following questions: 1. How many Electric Vehicles are in Washington State? 2. What are the top 20 EV Makes 3. What are the top 20 EV Models 4. What is the frequency of full battery vs. Plugin hybrids? 5.…
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What are the DUTIES OF THE secretary of state in 2024
Interview with Dale Whitaker running for Washington Secretary of State 2024 Watch the full episode here: Data Mining Mike and Dale Whitaker Interview
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AI AGAINST Lobbyists: How to Fight Against Political Bribery and Government Corruption 2024!
May 6 Written By Michael Segaline Abstract: Bottom Line Up Front: While the frequency of lobbyist donations is increasing, the donation amount is random. This study investigates the predictability of yearly lobbyist donations using a Random Forest model. The null hypothesis posits that the yearly distribution of lobbyist donations is random and unpredictable, while…
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