Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Plot the Results | Stock Prices Prediction Project
Stock Prices Prediction Project
course content

Зміст курсу

Stock Prices Prediction Project

bookPlot the Results

Now that we have our DataFrame with our predictions let's plot the results in order to understand the overall trend of our AAPL stock.

Завдання
test

Swipe to show code editor

  1. Call the .plot() method with the DataFrame we created on the previous step.

Congratulations on completing your project on predicting stock prices using Python! I'm sure it was a lot of hard work and dedication, but the end result is sure to be worth it. I'm looking forward to hearing about your findings and the insights you were able to gain from your analysis. Keep up the great work!

Mark tasks as Completed
Switch to desktopПерейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів
Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Now that we have our DataFrame with our predictions let's plot the results in order to understand the overall trend of our AAPL stock.

Завдання
test

Swipe to show code editor

  1. Call the .plot() method with the DataFrame we created on the previous step.

Congratulations on completing your project on predicting stock prices using Python! I'm sure it was a lot of hard work and dedication, but the end result is sure to be worth it. I'm looking forward to hearing about your findings and the insights you were able to gain from your analysis. Keep up the great work!

Mark tasks as Completed
Switch to desktopПерейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів
Секція 1. Розділ 10
AVAILABLE TO ULTIMATE ONLY
We're sorry to hear that something went wrong. What happened?
some-alt