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4.15 out of 5
283 reviews on Udemy

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
Dan We
1,709 students enrolled
English [Auto]
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

Course Title: Neural Networks for Sentiment and Stock Price Prediction


Explore the cutting-edge realm of neural networks for sentiment analysis and stock price prediction with our advanced course. Neural networks have revolutionized the fields of natural language processing and finance, enabling accurate sentiment analysis and predictive modeling of stock prices. In this course, you’ll delve into the theory and application of neural networks for analyzing sentiment in textual data and forecasting stock prices using historical data and market indicators.

Through a combination of theoretical explanations and hands-on projects, you’ll learn how to design, train, and evaluate neural network models for sentiment analysis and stock price prediction. From preprocessing textual data and feature engineering to selecting the appropriate architecture and hyperparameters for neural networks, you’ll gain the skills and knowledge needed to build robust predictive models for real-world applications.


– Intermediate understanding of machine learning concepts and algorithms
– Proficiency in Python programming and data manipulation libraries (e.g., NumPy, Pandas)
– Familiarity with neural network fundamentals (e.g., feedforward networks, backpropagation)
– Access to a computer with GPU support for faster model training (recommended but not mandatory)

Who this course is for:

– Data scientists and machine learning engineers interested in advanced topics like sentiment analysis and stock price prediction
– Finance professionals seeking to leverage machine learning techniques for quantitative analysis and trading strategies
– Researchers and academics exploring the intersection of artificial intelligence and finance
– Anyone passionate about mastering neural networks and applying them to real-world problems in sentiment analysis and financial forecasting

Unlock the potential of neural networks for sentiment analysis and stock price prediction with our comprehensive course. Whether you’re aiming to gain a competitive edge in financial markets or advance your career in data science, this course provides the expertise and practical skills needed to succeed in the dynamic fields of sentiment analysis and finance. Join us and embark on a journey of innovation and discovery in neural network applications today!

You can view and review the lecture materials indefinitely, like an on-demand channel.
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Neural Networks for Sentiment and Stock Prediction


3 hours on-demand video
4 articles
1 lectures
Certificate of Completion
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