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Using keras, I'm trying to make a model that will predict will the user like a movie or not based on his imdb data. My dataset is list of movie ratings and it has about 900 samples. The model classifies samples in one of three categories based on rating (1-4 bad, 5-7 good, 8 - 10 great). The model is capped at about 0.6 accuracy and however I tinker with the settings, it doesn't ever go beyond that, but the accuracy graph is also what concerns me because it displays very rapid growths and falls. My question is basically if anyone has any advice what I could do to improve my model, make it more accurate and more consistent.

My code:

Edit: others have responded showing xslt as a better solution for the simple problem I have posted here. I have deleted my answer for now.

I've been through about a dozen StackOverflow posts trying to understand how to import an XML document that has namespaces, modify it, and then write it without changing the namespaces. I discovered a few things that weren't clear or had conflicting information. Having finally got it to work I want to record what I learned hoping it helps someone else equally confused. I will put the question here and the answer in a response.

The question: given the sample XML data in the Python docs how do I navigate the tree without having to explicitly include the name-space URIs in the xpaths for findall and write it back out with the namespace prefixes preserved. The example code in the doc does not give the full solution.

Here is the XML data:

Given the following xml example, how can I print both the Actor name and their location?

I would like for the output to be:

John Cleese Ohio Eric Idle Colorado

I need to duplicate a row based on a column (a number).

I have this dataframe:

I need to delimit the letters and the numbers from a string in an array in Python.

My array is this one:

I have a data below:

I've created a random database of 100 soccer players, with randomly generated names, positions, and ability (1-5). I want to append the list so that it reviews the ability of each player and assigns a value (20-100) based on their ability. 1 ability = 20 value. 2=40, 3=60, 4=80, and 5=100. In excel, for example, I would do a vlookup to the ability (1-5) and apply the value based upon the ability number. How would I go about doing this in a Python list? Thanks

I have two tables, Categories, and Stories.

The Stories table contains content organized by category.

are there types for web3 in any version? I am coding backend APIs in node and i'd prefer to write in ts.

i am asking because i have been attempting to write express apps in ts with web3 and had this error (and many more):

This expression is not constructable. Type 'typeof import("c:/Users/Archie/node_modules/web3-eth-contract/types/index")' has no construct signatures.

line: const contract = new Contract(abi.json, address);