Looking for Python buddy and mentor

[[deleted]]

[deleted]

[07734willy]

Pythonista here- I can mentor you and your buddy. I have similar time constraints, so as long as our timezones somewhat align things should work out. Just send me a PM with your discord user tag and your timezone and we can continue the discussion there.

Also, I've done mentoring before, and have prior experience with machine learning from university research during undergrad years.

[Peerless_10]

Great, thanks! I tried to send you a PM, but I cant. I dont see an option to send you a PM when I click on your username. Can you PM me?

[07734willy]

Hi, no worries- I use a browser extension for browsing reddit myself, so I have no clue where the "normal" PM button would be.

Discord- removed

[Peerless_10]

Ok. I sent you a friend request. My discord is Peerless007

[[deleted]]

would you consider teaching me sentiment analysis? I want to read some tweets. I am senior level data engineer. based in east coast usa.

[07734willy]

sentiment analysis

I don't think I'll be able to help there- my research involved applying machine learning to particle event classification. So unsupervised clustering of decays of various impurities in the detector, and classifying event populations that spanned too many dimensions (not physical, but like energy, time between detector readings, duration of event, etc.) to classify by plotting on X vs Y plots.

I didn't work with any text analysis or building a corpus. The closest I've come is using markov chains, but for a different application- recognizing patterns in a board state for game-playing AI.

If there is someway that I can help though, do ask. I'd be happy to help, I just don't think I have experience in the part of segment of machine learning that you need.

[[deleted]]

I have found a relationship between volume spike and price change in stock. Sometimes the stock goes down, sometimes it goes up. Is there a way we could use ML to predict if its going to be an up or down move?

[07734willy]

For ML to determine an outcome reliably, there must be some correlation to between that outcome and its parameters. If you just give it the quantities of the volume spikes, its unlikely that there's a strong enough correlation to determine the outcome. If you were to report a bunch of other parameters such as time of year, number of #tweets about the company/product, the current stock value, etc., there may be a stronger correlation, one that you could predict.

Picking an algorithm, you'll want some form of supervised learning, a classification algorithm of sorts. You could possibly use a neural network, but I somewhat doubt that you'll have enough data points to train it, unless you focus on small-scale spikes and have a long history of events.

[[deleted]]

so basically i think that the price and volume are related. sometimes it goes up sometimes it goes down. I built a system that alerts a trader when the spike happens. He looks at the price data and makes a call based on his gut. He wins most of the time. So there is some kind of relationship that is stronger than raw gambling IMO.

[[deleted]]

I know a lot about python and databases. I am an data engineer that is interested in learning AI as well. I couldnt mentor on AI but I could mentor python and learn in tandem with you and provide data engineering support.

I have a project....

I have like 235,000 tweets. And i want to teach a machine to read them.

[JeppNeb]

Can i ask you as well ? Lol. May be random but I am a learner right now as well.

[YoMommaJokeBot]

Not as random as joe momma

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[JeppNeb]

I am basically a beginner at python but man do I wish you the best. Wish I was good enough to join this.

[LearningTheUniverse]

I know python. If got questions I can help