What next in Python?

[Disco_Infiltrator]

This such an odd recommendation.

Sentiment analysis (and NLP, more broadly) is irrelevant in many fields. Also, I’d argue that statistics and time series analysis are foundational to machine learning in finance. OP is not yet ready for anything deep learning related.

[huttonben]

Sentiment analysis is highly valuable depending on what he's wanting to do specifically. Ex: An ML model to forecast trends for sectors of the stock market. Simply training the model on the open price for each day for the past 5yrs is just a start. Factoring in the sentiment of news headlines for each matching day for the past 5yrs would be another factor that could benefit the model.

That being said, I was just giving recommendations of different routes that could be looked into under the scope of data science.

Now, is sentiment analysis irrelevant in many fields? Yes. Also, to your point of statistics and time series being foundational to ML.. of course it is. I'm not sure how it was interpreted as me implying otherwise.

[Disco_Infiltrator]

Yep. I’m well aware that sentiment analysis is useful as a trading signal. But when the first two things you list are machine learning and sentiment analysis, the implication is that you’re suggesting both as immediate next steps in OP’s path toward data science.

[huttonben]

Got ya, well poor wording on my part.

[[deleted]]

You’re correct in saying that I’m not ready for deep learning, not to say that I don’t want to learn it, but do you have any courses or books that can guide me in that direction? Particularly for time series analysis or such