hey guys, i am offering to do your data science related stuffs for you, and i'll also include visualization for better understanding.
i am not able to participate in kaggle challenges because visiting the site alone requires enough data, so i want to use this medium to further boost my knowledge in data science..

i use R language and SQL

Can you scramble variables in order to obtain a value at a fixed point? Let's say I give you six numbers — 31,5,11,8,13,8— and ask you to find as many combinations of those six numbers you can permutate to arrive at 17. You can use any and every variation of arithmetic available. Can you create a model that doesn't loop over hardcoded expression templates? Here's the tricky part: Strength of a combination is determined by its durability when tested against multiple sets of six numbers, all pursuing the same fixed point.

At the last step, we'll apply your code to other fixed points and their corresponding sets of six numbers. Do you understand?

Nmeri17:
Can you scramble variables in order to obtain a value at a fixed point? Let's say I give you six numbers — 31,5,11,8,13,8— and ask you to find as many combinations of those six numbers you can permutate to arrive at 17. You can use any and every variation of arithmetic available. Can you create a model that doesn't loop over hardcoded expression templates? Here's the tricky part: Strength of a combination is determined by its durability when tested against multiple sets of six numbers, all pursuing the same fixed point.

At the last step, we'll apply your code to other fixed points and their corresponding sets of six numbers. Do you understand?

i can do what you're asking if your post is more detailed. but this is mathematics.

I have this problem i have been battling with ML in python. Giving changing y variables with random values 23,57,82,5,10 with a corresponding date y variable with spread linearly. Can you predit with accuracy the outcome of y given a x.

I have this problem i have been battling with on ML in python. Giving changing y variables with random values 23,57,82,5,10 with a corresponding date y variable which spread linearly. Can you predit with accuracy the outcome of y given x.

eazycash:
I have this problem i have been battling with on ML in python. Giving changing y variables with random values 23,57,82,5,10 with a corresponding date y variable which spread linearly. Can you predit with accuracy the outcome of y given x.

if it is possible to predict with accuracy the outcome of a variable with random values then it means the values are not actually random...

you can post the problem here let me take a look

Twirelex:
if it is possible to predict with accuracy the outcome of a variable with random values then it means the values are not actually random...

Events in a real time system is random in nature but still converge at a certain point. Events like an outcome of a customer purchase in a particular web store or clicks to a particular product produce a random events. My aim is to let the machine learn over it and be able to predict with accuracy a customer attitude or liked products based on the machine past experiences of customers.

eazycash:

Events in a real time system is random in nature but still converge at a certain point. Events like an outcome of a customer purchase in a particular web store or clicks to a particular product produce a random events. My aim is to let the machine learn over it and be able to predict with accuracy a customer attitude or liked products based on the machine past experiences of customers.

like i said, post the problem let me look into it.
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