Finance, Trading, Stock Market, Mathematics, Technical Analysis.
lot of data. If the dataset you are training on is huge then doing little things like this will speed it up. Next, we will write the functions to fit, update, and predict the model. import numpy as np class LinearRegression() : def __init__(self, learning_rate, iterations): self.lr = learning_rate