Algorithm to analyse and predict

I’m having a set of data’s, say

Algorithm to analyse and predict

I’m having a set of data’s, say

Algorithm to analyse and predict

I’m having a set of data’s, say

Algorithm to analyse and predict

I’m having a set of data’s, say

Algorithm to analyse and predict

I’m having a set of data’s, say

Algorithm to analyse and predict

I’m having a set of data’s, say

How to solve this problem- Neural Net? Fuzzy? Other?

Hi I have a programming problem that I would like to solve using some artificial intelligence technique. I really dont know where to start. I would like some guidance as to what methodology to pursue.

How to solve this problem- Neural Net? Fuzzy? Other?

Hi I have a programming problem that I would like to solve using some artificial intelligence technique. I really dont know where to start. I would like some guidance as to what methodology to pursue.

SGD optimizer setting for batched data

I am new to ML and I am starting learning it. I am doing Joh Krohn course for Maths intro to ML. It is pretty clear explaind to me but I am struggling with one thing. In this task https://github.com/jonkrohn/ML-foundations/blob/master/notebooks/regression-in-pytorch.ipynb we used torch.optim.SGD torch SGD which was running thru all the example data.

How to choose the appropriate label when building a ML model

I am trying to train a model for a specific task.
Here is a simple description:
image1
image2
Here are screenshots of two different datasets: The data in Image 1 is in the correct order, with no errors and no missing data. The data in Image 2, on the other hand, is disordered, contains noise, and has missing data.