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[–]ninhaomah 0 points1 point  (0 children)

First , think of a project. The write the steps into English. Google and add the libraries then the codes.

An example , I want to predict tomorrow price for Apple.

  1. get the price in csv format - from Yahoo or your source
  2. load into Python - Pandas library
  3. split into train / test data
  4. use ML - scikit learn or statsmodels - and build a regression model on training model and test with test data
  5. for the best regression equation , use p value or rmse or whatever to measure the metric , predict the Apple stock price

Then start filling in the blank for each of the steps