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Predicting Financial Time Series with Tensorflow 2

By the end of this project, you will have learned the essentials of the predicting time series data in Python using Tensorflow 2. Using a variety of Machine Learning techniques, we can mobilize the Python language to magnify our view of an ever-changing market landscape and augment our decision making when it comes to the stock market, the forex (foreign exchange) trading market, product demand, crypto-currency valuation and other life-altering monetary investments. When you finish the project, you'll have a time-series prediction script set up to forecast Forex prices with Tensorflow that you can tweak to your heart's content. This project will provide valuable experience in your Machine Learning and Artificial Intelligence development journey. Strong familiarity with Python is heavily recommended. Experience with Tensorflow and financial markets is a plus. Note: This course works best for learners who are based in the North America region. Weâ€™re currently working on providing the same experience in other regions.

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Provides hands-on experience in Machine Learning and Artificial Intelligence development

Assumes strong familiarity with Python, which may limit accessibility for learners with less experience

Focuses on predicting Forex prices using Tensorflow, making it relevant for learners interested in financial markets

Taught by Charles Ivan Niswander II, who has expertise in predicting time series data in Python using Tensorflow 2

Offers a project-based approach, allowing learners to apply their knowledge and skills in a practical setting

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Reviews summary

Tensorflow 2 time series prediction

Overall, this course on predicting financial time series with Tensorflow 2 has received mixed reviews. While some students found the content informative, others found it to be too fast-paced or lacking in substance. Students should be aware that this course is best suited for learners based in North America.

Some students found the course to be too difficult, while others found it to be appropriate for their skill level.

"...The instructor also says in the intriduction that you need absolutly no background to do this. the he goes on and uses Autolag Adfuller test, ACF and PACF plots without explaining what they mean and how they should be interpreted."

The instructor's presentation was criticized for being slow and lacking in engagement.

"...The instructor lethargically fits 15 mins worth of content in a 2 hrs video where he copies paste codes from another notebook which is also full of typos and he has to fix it live (and it's not quick by any means!!)."

Some students found the content to be informative, while others found it to be lacking in substance.

"...I think this course goes way too fast..."

"...The content is not generalizable, the timeseries chosen was already stationary and did not require any differencing which is not as common."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Predicting Financial Time Series with Tensorflow 2 with these activities:

Practice Python programming

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Enhance your Python skills to confidently navigate the code examples and assignments in this course.

Browse courses on Python

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Work through Python exercises in an online coding environment.
Solve coding challenges or puzzles.

Review fundamental concepts in machine learning

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Strengthen your foundation in machine learning principles to better understand the concepts and techniques in this course.

Browse courses on Machine Learning

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Revisit your notes or textbooks on machine learning.
Complete practice problems or online quizzes to test your understanding.

Follow online tutorials on time series prediction

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Expand your knowledge and skills by exploring external resources and tutorials on time series prediction.

Browse courses on Time Series Prediction

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Identify relevant tutorials from reputable sources.
Follow the instructions and complete the exercises provided in the tutorials.

Three other activities

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Complete practice exercises and problems

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Reinforce your understanding of time series prediction concepts and techniques through hands-on practice.

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Work through the exercises provided in the course materials.
Solve additional practice problems found online or in textbooks.

Develop a time series prediction model for a real-world dataset

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Apply your knowledge by creating a practical solution to a real-world problem involving time series data.

Browse courses on Time Series Prediction

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Choose a suitable dataset.
Preprocess and explore the data.
Develop and train a time series prediction model.
Evaluate and refine your model's performance.

Build a time series prediction dashboard or application

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Demonstrate your mastery by creating a comprehensive project that combines your skills in time series prediction, programming, and data visualization.

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Define the scope and requirements of your project.
Design and implement the user interface.
Integrate your time series prediction model into the application.
Test and deploy your project.

Career center

Learners who complete Predicting Financial Time Series with Tensorflow 2 will develop knowledge and skills that may be useful to these careers:

Trader

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be a Trader. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

See salaries and explore the career path for Trader

Quantitative Analyst

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be a Quantitative Analyst. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape. The course will also cover a number of Machine Learning techniques that are increasingly commonplace on the trading floor.

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Actuary

Predicting Financial Time Series with Tensorflow 2 will help build a foundation for someone who wants to be an actuary. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

See salaries and explore the career path for Actuary

Financial Planner

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be a Financial Planner. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

See salaries and explore the career path for Financial Planner

Economist

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be an Economist. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

See salaries and explore the career path for Economist

Investment Analyst

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be an Investment Analyst. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

See salaries and explore the career path for Investment Analyst

Business Analyst

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be a Business Analyst. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

See salaries and explore the career path for Business Analyst

Statistician

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be a Statistician. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

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Data Analyst

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be a Data Analyst. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

See salaries and explore the career path for Data Analyst

Risk Analyst

Predicting Financial Time Series with Tensorflow 2 will help build a solid foundation for someone who wants to be a Risk Analyst. The course will aid with understanding the Python language and Tensorflow 2 techniques from within the financial data landscape.

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Financial Analyst

Financial Analysts who want to advance in their career or specialize in a particular sector of finance may find the Predicting Financial Time Series with Tensorflow 2 course to be helpful. The course uses Tensorflow 2 to perform market analysis and familiarity with this tool is very valuable. The course may be especially useful if one wants to specialize in forecasting Forex prices.

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Financial Risk Manager

The Predicting Financial Time Series with Tensorflow 2 course can be very helpful for a Financial Risk Manager. A variety of Machine Learning techniques are covered in the course and an understanding of financial markets is helpful but not required.

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Machine Learning Engineer

The Predicting Financial Time Series with Tensorflow 2 course may be very useful to a Machine Learning Engineer who wants to specialize in financial markets. The course will help build a foundation in a variety of Machine Learning techniques and familiarity with Python is recommended.

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Software Engineer

Predicting Financial Time Series with Tensorflow 2 will help Software Engineers who wish to specialize in financial data analysis and trading. Financial data is increasingly being stored and transferred in computation-intensive data pipelines and this course will help one understand the latest practices for managing financial data.

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Data Scientist

A Data Scientist may also use Tensorflow 2 to make predictions based on time-series data, especially within the financial sector. The Predicting Financial Time Series with Tensorflow 2 course may be especially helpful for a Data Scientist who wishes to learn about using Tensorflow 2 for this purpose. The course will build a foundation in a variety of Machine Learning techniques and familiarity with Python is recommended.

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Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Predicting Financial Time Series with Tensorflow 2 .

Time Series Analysis and Its Applications

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This textbook provides a foundational understanding of time series analysis, including techniques for forecasting and model selection. It offers a comprehensive overview of the field and is suitable as a textbook or reference for practitioners.

Predicting Financial Time Series with Tensorflow 2

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Reviews summary

Tensorflow 2 time series prediction

Activities

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Reading list

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