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neural networks for sentiment and stock price prediction

2.5 hours on-demand video

$ 12.99

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Brief Introduction

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

Description

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

Requirements

Requirements
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

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