Create two figures in jupyter notebook
Budget: $10 – $30 USD
Use Jupyter Notebook and follow below steps:
Create data - n = 1000 (first figure): use alpha around 10 and x should be Gaussian distributes (zero mean, 1 std)
Plot created data (first figure)
Use polynomial regression techniques to map nonlinear data into linear data (explain how you did it)
Fit a line on mapped data
Then draw the fitted curve using below function (second plot): y=log(alpha * x^2 + 1)
Create data - n = 1000 (first figure): use alpha around 10 and x should be Gaussian distributes (zero mean, 1 std)
Plot created data (first figure)
Use polynomial regression techniques to map nonlinear data into linear data (explain how you did it)
Fit a line on mapped data
Then draw the fitted curve using below function (second plot): y=log(alpha * x^2 + 1)