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Linear Regression: Getting Started
16:23
YouTubeJan Jensen
Linear Regression: Getting Started
I introduce the following ML terms: weights, bias, loss function, cost function, L2 loss. You'll also get started with Google Colaboratory, Python, Pandas, and MatPlotLib. Here is the data I use: (0, 1), (1, 3), (2, 2), (3, 5), (4, 7), (5, 8), (6, 8), (7, 9), (8, 10), (9, 12) This video is part of a series: https://sites.google.com/view/ml ...
7K viewsAug 5, 2019
Multiple Linear Regression Tutorial
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Multiple Linear Regression: An Easy and Clear Beginner’s Guide
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100 % FIX MODEL TYPE QUESTION | MATH | NEB CLASS 12 | U-THINKCRAZY
30.2K views2 days ago
YouTubeU-THINKCRAZY
0:35
> NASA publishes the temperature anomaly every month> Polymarket trades it across six buckets> between them sits a problem linear regression solves cleanly> Mac Mini. Claude Code. 30 lines of Python.> μ = model prediction. σ = residuals.> P(bucket) = Φ((b-μ)/σ) - Φ((a-μ)/σ)> model says 56%. market trades at 48%.> EV = 0.56 - 0.48 = +0.08 per share.> edge isn't in the regression. it's in who sees fresh data first.
957 views5 days ago
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