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n Collect Data: Gather a dataset that accommodates historical numbers. This could possibly be stock prices, sport scores, or weather circumstances.
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Exploratory Data Analysis (EDA): Visualize data to grasp patterns and correlations.
Choose an Algorithm: For newbies, start with linear regression or decision timber.
Train the Model: Fit the chosen mannequin on your dataset.
Test the Model: Evaluate the model’s performance utilizing a check dataset.
Make Predictions: Apply the mannequin to make new predicti



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