Linear Regression is one of the most fundamental concepts in machine learning and an excellent starting point for beginners. In this blog, we’ll unpack what linear regression is, how it works, and then build a practical model to predict Bitcoin closing prices using historical BTC price data.
Note: The python notebook is been attached, feel free to try it yourself.
What is Linear Regression?
Linear regression is a simple way to understand how one thing affects another. Imagine trying to predict a student’s exam score based on how many hours they study. Linear regression fits a straight line through data points, showing the relationship between study hours (independent variable) and exam scores (dependent variable). This helps predict what the score might be for a given number of study hours by using a simple formula like y = mx + c, where y is the score, x is the hours studied, w is how much the score changes with each hour, and b is the starting point when no hours are studied.
Read the full blog here: blog.pvcodes.in/bitcoin-price-prediction-linear-regression
Reason for redirection: Dev.to does not support Math LaTeX, making the blog content incompatible.
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