Course Content
Stock Prices Prediction Project
Plot 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.
Task
- Call the
.plot()method with the DataFrame we created on the previous step.
Task
- 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!
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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.
Task
- 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!
Switch to desktop for real-world practiceContinue from where you are using one of the options below