neural networks for sentiment and stock price prediction (Udemy.com)

The first part of the course already exists in youtube by simplilearn, for free. I dont know who did it first but you guys from Udemy should check that content is realy novel. Also, the model is not good at all in predicting stock price movements, as expected cause otherwise anyone would be doing money easily. Still I hoped to find an explanation of why it does not work.

The Instructor speaks far too quickly. I have English as a first language.... I can only imagine what a non-english speaker think. He refers to 69 in one of the parameters repeatly, but is writing 96 instead. I cannot understand why this was not caught before being released. The Stock Price prediction section was very poorly done. What is the value of the prediction in graphic form? How could I use this in an actual trading environment? Lots of areas for improvement.

I would suggest everyone enrol in this course. It's nicely explained in a simple and understandable way. Every concept is taught effectively. Especially He explained every line of code with the explanation.

I would recommend an optional module that goes into a bit more detail on how these models work and how to interpret the results. Maybe add a slide deck walking us through the deeper meaning in some of this code. You don't spend any time explaining what's happening in your code, where you're introducing uncertainty with this type of predictive approach, or where the results require further subjective analysis for interpretation. You explicitly market the course as one where students can "dive in." This is really dipping toes into the water.

Mir hat der Kurs sehr gut gefallen. Man lernt eine ganze Menge im Bereich Kursprognose und Sentiment-Analyse. Der Kurs ist logisch aufgebaut und man kann den einzelnen Schritten gut folgen. Anfragen an den Dozenten werden schnell, sehr kompetent und ausführlich beantwortet. Vielen Dank.

My main interest is in the NEW BONUS session of this course. Both in the example given of the bit coins and other stocks I used in this session give a jump between the actual 10 days to the projected next 10 days. Something is wrong that the projected next day results do not match more closely with the last day of the actual. Please review this development and see why these is not a much better agreement in the actual days and the projected days results. Hubert Plumlee hplumlee@yahoo.com

Der Kurs war sehr hilfreich, jedoch wäre es schön gewesen, wenn man noch probiert hätte die Genauigkeit zu verbessern indem man vielleicht mehr Epochen trainiert hätte oder mehrere Inputs und nicht nur den Close Price.

I like this course but a bit shy of 5 stars. It's a good course but on the shorter side leaving me wanting a bit more depth into the subject so I can have a more fundamental understanding of the LSTM and maybe how best to tune the hyperparameters. I totally understand this is not a deep learning or neural network course but then those courses don't relate their use to predicting stock prices and sentiments. These applications are really great concrete examples that makes DL/NN even more exciting. Thank you for a great course! Wish there's a part 2/advance level.

Probably the best ML course for finance on Udemy I have done so far. Not only is Dan passionate which helps drive you, the course itself is in fact useful and focuses on a practical approach. The future X days prediction as well as the market sentiment puts this course above many other ML finance courses.

Such a great short course to take - highly recommend! It was short, sharp, well-explained, to-the-point, easy to follow, well-written code with relevant examples. I got exactly what I was looking for from this course! I honestly have nothing to fault. Daniel also was very prompt with answering my questions very soon after I asked them!