Beginners Guide for Using Google Colab for the First Time.

Beginners guide for using the Machine Learning and/or AI tools on google.colab

for a complete beginner: 

1. AI and ML is all about analysing data so first you need to decide what
2. kind of data you want to analyse. (I refer you back to my previous
3. blog post beginners guide to AI and ML terms..)
4. 
   
5. Basically do you want to analyse numerical data, text or images?
   
   
6. On this occasion I’m going to keep it simple and create some data visualisations (graphs)
7. 
   
8. You can get free open source data from this website kaggle.com
   
   
9. I downloaded this file in .csv format:s-p-500-time-series-forecasting-with-prophet/input  
   
   
10. Next find this website colab.research.google.com https://colab.research.google.com
    
    
11. This is when you can go to chatgpt and ask it to write the code for google colab to analyse the data in 
    the way you want for example you could ask it to write the code to create a dataframe from that data: 
     
12. Drag and drop the csv file into google.colab
    
13. Change the labels so they match the column names from the csv file:
    
14. Run the code by pressing run, nothing bad will happen if you press run 
    (the worst case scenario is that it just won’t work!).
15. I got something that looks like this:
    
    
    
16. If you get an error ask the google AI gemini to explain it and help you fix it.
17. Make sure the column names from the csv file match the column names in 
18. the code (including the uppercase and lower case is correct).
    Once you have created a dataframe the hard work is done so you can now 
    ask gemini to make some graphs from it or go back to chat gpt and ask it to 
    make a graph from that dataframe.  
    I ended up with something like this:
    
    
    
19. If you can get this far you know enough to use trial and error to experiment with 
    those tools and get it to display the data however you want.