50+ days of Machine Learning

 Hello :) Today is Day 108! A quick summary of today: added a field to show generated code by codellama in the text2chart webapp covered recommender systems from XCS224W: ML with Graphs Firstly, about the text2chart webapp When I create the prompt for codellama, I give it info about the type of columns in the dataframe, using the below logic It may not be the most robust, but it does fine for now. I thought a problem with the app is that the date column is read as numerical values, and tried to introduce the (now) commented if statement, tested it a bit and it did not seem to do anything. Then, I decided to show the user what kind of code is being used to generate the shown graph (probably a feature I should have had from the beginning). And this actually made me realise that sometimes the generated code is actually not that good, so a more detailed query might be needed.  Example: So if a resulting graph is not good, we can see what was wrong in the code, and give a more specific quer