I have data with a lot of NaNs:

I am trying to concatenate two dataframes that share a column. One dataframe has all the columns, but the second one is just the single changed column. I want to concatenate them so that the old values are overwritten by the new values. I’ve tried every way I can think of to do this, but I’m not making any progress. Here’s what I want to happen:

I have been studying Machine Learning for while but the Algorithms are confusing me so I want you to show some examples for some Algorithms like SVM, SMOTE, KNN, Kflod, Decision tree and more.

While I have been able to install Imblearn in jupyter notebook, while trying to import pipeline through below code I am getting error

I am working on developing a machine learning model to predict the score for a given team. I want to create a column tracking each team’s cumulative score for their home games up to but not including the current game (row). I can easily calculate the cumulative total, but I want to offset the cumulative total to show the cumulative up to but not including the current game below is an example of the dataset. I would ideally like to create the cumulative column