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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
4.7
4.7/5
(224 reviews)
1,264 students
Created by

9.7

Classbaze Grade®

10.0

Freshness

9.5

Popularity

9.1

Material

How to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scie
Platform: Udemy
Video: 2h 45m
Language: English
Next start: On Demand

Best Neural Networks classes:

Classbaze Rating

Classbaze Grade®

9.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.5 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 8.0 / 10
The course includes 2h 45m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 11 minutes of 40 Neural Networks courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

4 articles.
6 resources.
0 exercise.
0 test.

In this page

About the course

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

What can you learn from this course?

✓ 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

What you need to start the course?

• Your personal interest in the topic and a hands on mentality
• Basic knowledge in Python
• Tools are free – no additional costs required
• This course is hands on – instead of theory we implement the networks in code and I explain what we do and why we do it
• You should be familiar with neural networks – I do not explain how a LSTM Network works from scratch

Who is this course is made for?

• It’s a hands on course so Your committment to code along with me
• beginners to intermediate students in neural networks and machine learning who already know the basics
• students who are eager to learn and dive into one of the hottest topics currently out there
• students who ask how to do stock market predictions with neural networks
• students who ask how to do sentiment analysis with neural networks

Are there coupons or discounts for neural networks for sentiment and stock price prediction ? What is the current price?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $14.4 of 40 Neural Networks courses. So this course is 25% more expensive than the average Neural Networks course on Udemy.

Will I be refunded if I'm not satisfied with the neural networks for sentiment and stock price prediction course?

YES, neural networks for sentiment and stock price prediction has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the neural networks for sentiment and stock price prediction course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who will teach this course? Can I trust Dan We?

Dan We has created 57 courses that got 12,305 reviews which are generally positive. Dan We has taught 76,938 students and received a 4.5 average review out of 12,305 reviews. Depending on the information available, we think that Dan We is an instructor that you can trust.
Coach
Dan is a 33 year old entrepreneur ,data enthusiast  consultant and trainer. He holds a master degree and is certified in Power BI, Tableau, Alteryx and KNIME.
He is currently working in Business Intelligence field and helps companies and individuals to get key insights from their data to deliver long term growth and outpace their competitors.
He has a passion for learning and teaching and is committed to support other people, by offering them educational services to help them accomplishing their goals and becoming the best in their profession or explore a new career path.
“The only failure is not trying”
You can do it!
Browse all courses by on Classbaze.

9.7

Classbaze Grade®

10.0

Freshness

9.5

Popularity

9.1

Material

Platform: Udemy
Video: 2h 45m
Language: English
Next start: On Demand

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