How can i increase the memory of Jupyter?
Assuming you cannot add more memory to your computer (or free up some of the memory), you could try 2 general approaches:

Read only some of the data into memory e.g. a subset of the rows or columns.

reduce the precision of the data from float64 to float32.


From your error, it looks like you are loading data into a numpy array, so somewhere in your code, you would need to add this argument to the array creation step e.g.  np.array(your_data, dtype=np.float32).
EDIT:
I don't think this is a rate limiting problem, or a max_buffer_size issue from Tornado (the library behind Jupyter).
You can try to see if your machine is actually running out of memory by using a tool called htop - just execute htop in a terminal (or first sudo apt install htop if it isn't already installed).  That shows the total amount of memory (RAM) available on your machine, it looks something like this:

This example shows the machine has 16 cores and 62.5 Gb memory - 6.14Gb of that is occupied.
Watch that view while you run your code. If the memory bar becomes full before the crash, you know you ran out of RAM.