Jul 31, 2025 · 16 min read · Before diving deeper into machine learning models, it’s critical to understand the assumptions that linear regression rests upon. These assumptions — linearity, independence, constant variance (homoscedasticity), and normality of residuals — form the...
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Dec 22, 2024 · 2 min read · I had a little fun with data from the St. Louis Fed (FRED). Note: not investment advice I collected 54 years of gold price data starting 9/30/71 (end of the US federal government fiscal year after gold was allowed to float). I also collected the 10-y...
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Oct 4, 2024 · 13 min read · Sure! Let's reformat the statsmodels examples to follow the new style you provided. Here are the examples from statsmodels, now with the before and after real samples included: 1. Linear Regression (OLS) 📈 Boilerplate Code: import statsmodels.api a...
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