Predict Stock Trends with Twitter Sentiment Analysis Machine Learning
Learn how to snag the most in demand role in the tech field today!
Welcome to the Predict Stock Trends with Twitter Sentiment Analysis Machine Learning course! In this program, you will learn how to harness the power of natural language processing and machine learning to predict stock trends using Twitter sentiment analysis.
In today's fast-paced financial markets, social media platforms like Twitter play a significant role in shaping stock prices and investor sentiment. By analyzing tweets and extracting meaningful insights, we can gain valuable information about market sentiment and potentially predict future stock movements.
Throughout this course, you will explore the foundations of natural language processing (NLP) and machine learning. You will learn how to collect and preprocess Twitter data, apply sentiment analysis techniques to extract sentiment scores from tweets, and build machine learning models to predict stock trends based on this sentiment data.
Using popular libraries such as NLTK, Scikit-learn, and TensorFlow, you will gain hands-on experience in text preprocessing, feature extraction, and model training. You will explore different machine learning algorithms, including logistic regression, support vector machines, and deep learning models, and evaluate their performance using various metrics.
Furthermore, you will learn how to integrate Twitter API to stream real-time tweets and update your prediction models accordingly. This will enable you to stay up-to-date with the latest market sentiment and make informed trading decisions.
By the end of this course, you will have the skills and knowledge to build your own machine learning models for stock trend prediction using Twitter sentiment analysis. You will be able to identify the impact of sentiment on stock prices, create accurate predictions, and potentially gain a competitive edge in the financial markets.
Whether you're an aspiring data scientist, a financial analyst, or an individual interested in leveraging the power of social media for stock prediction, this course will provide you with the necessary tools and insights to excel in this exciting field. Join us now and unlock the potential of predicting stock trends with Twitter sentiment analysis using machine learning!
Your Instructor
Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start00. Intro To Course And Python (9:57)
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Start01. Variables (19:19)
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Start02. Type Conversion Examples (10:06)
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Start03. Operators (28:54)
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Start04. Collections (8:24)
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Start05. List Examples (19:41)
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Start06. Tuples Examples (8:36)
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Start07. Dictionaries Examples (14:26)
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Start08. Ranges Examples (8:32)
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Start09. Conditionals (6:43)
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Start10. If Statement Examples (21:32)
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Start11. Loops (29:42)
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Start12. Functions (17:01)
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Start13. Parameters And Return Values Examples (13:54)
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Start14. Classes And Objects (34:11)
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Start15. Inheritance Examples (17:29)
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Start16. Static Members Examples (11:05)
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Start17. Summary And Outro (4:08)