Udemy

neural networks for sentiment and stock price prediction

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  • 1,855 Students
  • Updated 10/2024
4.2
(308 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 55 Minute(s)
Language
English
Taught by
Dan We
Rating
4.2
(308 Ratings)
3 views

Course Overview

neural networks for sentiment and stock price prediction

How to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scie

Let's dive into data science with python and predict stock prices  and customer sentiment.

machine learning / ai ? How to learn machine learning in python? And what is transfer learning ? How to use it ? How to create a sentiment classification algorithm in python? How to train a neural network  for stock price prediction?

Good questions here is a point to start searching for answers

In the world of today and especially tomorrow machine learning and artificial intelligence will be the driving force of the economy. Data science  No matter who you are, an entrepreneur or an employee, and in which industry you are working in, machine learning (especially deep learning neural networks) will be on your agenda.


"From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!"


It's time to get your hands dirty and dive into one of the hottest topics on this planet.

To me the best way to get exposure is to do it "Hands on". And that's exactly what we do. Together we will go through the whole process of data import, preprocess the data , creating an long short term neural network in keras (LSTM), training the neural network and test it (= make predictions)

The course consists of 2 parts. In the first part we will create a neural network for stock price prediction. In the second part we create a neural network for sentiment analysis on twitter tweets.

Let's get into it. See you in the first lecture

Course Content

  • 4 section(s)
  • 22 lecture(s)
  • Section 1 LSTM neural networks for stock price prediction
  • Section 2 Sentiment prediction with LSTM neural networks
  • Section 3 NEW BONUS - Predicting the next X days in the future with LSTM Models (multiple)
  • Section 4 Googles TimesFM A GPT inspired TimeSeries Forecasting Model

What You’ll Learn

  • You can create an LSTM neural network and do a basic stock price prediction
  • You know how to do sentiment analysis with LSTM neural networks
  • You increase your knowledge and understanding of the deep learning library keras and pyhton
  • You might open up new career opportunities for you which are not only highly rewarding but also offer more job satisfaction


Reviews

  • M
    Marcin Kowalczyk
    3.5

    not really what I was thinking it is, missed my expectations

  • C
    Christian Kasim
    4.5

    The courses was good, however maybe need to update some of the materials like pandas append is not working anymore, which can cause confusions for beginners like me. But overall it is very good course

  • T
    Twon Smith
    5.0

    Got straight to the point with enough information to inform but was not overwhelming. Buying another one of his Python courses because of this one. Thanks

  • A
    Arya Wijaya
    5.0

    very clear and comprehensive tutorial. Subtitle should be edited because many wrong subtitle

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