Introduction to linear regression
ML is the ability of computers to learn from data. The power of ML comes from making future predictions based on the data received. Today, ML is used all over the world to predict the weather, stock prices, profits, errors, clicks, purchases, words to complete a sentence, recommend movies, recognize faces and many more things.
The unparalleled success of ML has led to a paradigm shift in the way businesses make decisions. In the past, businesses made decisions based on who had the most influence, but now, the new idea is to make decisions based on data. Decisions are constantly being made about the future, and ML is the best tool at our disposal to convert raw data into actionable decisions.
The first step in building an ML algorithm is deciding what you want to predict. When looking at a DataFrame, the idea is to choose one column as the target column. The target column, by definition, is what the algorithm will be trained to predict.
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