neural networks for sentiment and stock price prediction

neural networks for sentiment and stock price prediction, available at $49.99, has an average rating of 4.5, with 23 lectures, based on 290 reviews, and has 1758 subscribers.

You will learn about 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 This course is ideal for individuals who are Its a hands on course so Your committment to code along with me or beginners to intermediate students in neural networks and machine learning who already know the basics or students who are eager to learn and dive into one of the hottest topics currently out there or students who ask how to do stock market predictions with neural networks or students who ask how to do sentiment analysis with neural networks It is particularly useful for Its a hands on course so Your committment to code along with me or beginners to intermediate students in neural networks and machine learning who already know the basics or students who are eager to learn and dive into one of the hottest topics currently out there or students who ask how to do stock market predictions with neural networks or students who ask how to do sentiment analysis with neural networks.

Enroll now: neural networks for sentiment and stock price prediction

Summary

Title: neural networks for sentiment and stock price prediction

Price: $49.99

Average Rating: 4.5

Number of Lectures: 23

Number of Published Lectures: 21

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 21

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Its 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

Target Audiences

Its 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

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 experienceI 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 Curriculum

Chapter 1: LSTM neural networks for stock price prediction

Lecture 1: Stock market prediction with LSTM neural networks intro

Lecture 2: Download the resources

Lecture 3: One important thing before you start

Lecture 4: 1 Install Dependencies and load the data

Lecture 5: 2 Creating the dataset

Lecture 6: 3 Preprocessing the Dataset

Lecture 7: 4 Training the network

Lecture 8: 5 Visualizing the Network results

Chapter 2: Sentiment prediction with LSTM neural networks

Lecture 1: Sentiment Analysis Intro and load the dataset

Lecture 2: Visualizing the data

Lecture 3: Data preprocessing for sentiment analysis with neural networks

Lecture 4: Creating the model and train the neural network

Lecture 5: Testing and evaluating the LSTM model on sentiment

Lecture 6: Final words – Congratulation

Chapter 3: NEW BONUS – Predicting the next X days in the future with LSTM Models (multiple)

Lecture 1: The dataset we use (you can also use your own later on)

Lecture 2: 1 Predicting future prices for the next X days Introduction

Lecture 3: 2 Predicting future prices – dataprepreparation and visualization

Lecture 4: 3 Predicting future prices – defining and training the model

Lecture 5: 4 Predicting future prices – visualizing training and prediction results

Lecture 6: 5 Predicting future prices – next 10 day prediction and visualization

Lecture 7: More learning

Instructors

Dan We
Coach

Rating Distribution

1 stars: 11 votes

2 stars: 12 votes

3 stars: 30 votes

4 stars: 82 votes

5 stars: 155 votes

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