Stock Price Prediction, Linear Regression.
techniques applied to prepare raw data for model training. It’s a crucial phase in the machine learning pipeline as the quality of input data significantly impacts the performance and reliability of the model. Here are some common techniques used in data preprocessing: cols = [1,2,3,4,5,7] df =