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Hands on Deep Learning Projects - Stock price Prognostics Course

Booking options

£12

Highlights

On-Demand course
2 hours
All levels

Description

Hands on Deep Learning Projects – Stock Price Prognostics Course focuses on applying deep learning concepts to stock market forecasting through guided, project-based learning. The course explores how historical market data can be analysed using neural networks to identify patterns, trends, and potential price movements. Key concepts such as data preparation, feature selection, and model evaluation are explained clearly, allowing learners to understand how deep learning supports informed financial analysis. Attention is given to commonly used architectures for time-series forecasting, including neural network models suited to stock price prognostics.

Designed for online study, this course suits learners who wish to strengthen analytical knowledge in finance and machine learning without the need for physical attendance. The content is structured to build confidence in interpreting model outputs, understanding limitations of predictions, and improving forecasting accuracy through model tuning. By completing this course, learners gain valuable insight into how deep learning methods are applied within stock market analysis, supporting professional development and enhancing CV value in data-driven and finance-focused roles.

Learning Outcomes:

Build a deep learning model using RNN that can accurately predict stock prices.

Preprocess data and perform exploratory data analysis.

Scale features and make predictions on test data.

Gain real-world experience in deep learning development.

Contribute to the development of cutting-edge technology in the finance industry.

The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development.

By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry.

â±â± Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum

Section 01: Introduction

Section 02: Installation of Tools and Libraries

Section 03: Dataset

Section 04: EDA

Section 05: Feature Scaling

Section 06: Building RNN

Section 07: Prediction on Test Data

Section 08: Output

How is the course assessed?

Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.

Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.

Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).