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What type of predictive model should I use for 100k entries to predict next? (alien.top)

submitted 10 months ago by alenathomasfc@alien.top to c/machinelearning@academy.garden

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Hello all,
I'm new to the data analysis and mining. I have a list of 100k entries in a CSV file having a just single column.
The values are as follows

0
1
1
1
0
0
1
1
0
1
1
1
.
..
...
1
1
0
0
Based on these data, can I predict the 100001 results? Will it be 0 or 1? If So, what is the best method for it? I'm learning Python and trying GradientBoosting, Support Vector Machines (SVM) and Basic Neural Networks. But I'm not able to achieve it.

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[–] Acceptable-Mix-4534@alien.top 1 points 10 months ago

Try plotting the 1 lakh values , graph can be averaged over some window , if you see some pattern, you should be able to predict, if it’s just like a random plot, it would be hard to. But if you see the pattern, you would definitively be able to predict.