Ultimate Data-Driven Trading: Sentiment Analysis, NLP and More Projects
Dive deep into sentiment analysis and natural language processing (NLP) to harness the power of market sentiment for trading decisions.
Learn advanced data collection and processing techniques to feed your trading algorithms with valuable insights.
Integrate these findings into robust trading strategies and explore the role of machine learning (ML) in enhancing trading performance.
Master feature engineering specifically for trading and develop sophisticated ML trading strategy algorithms to stay ahead in the market.
This Python course equips you with the skills to transform raw data into actionable trading intelligence.
Your Instructor
James Dabalus is a skilled Prompt Engineer with an extensive technical and creative background. James has built many courses with Mammoth Interactive on ChatGPT and Midjourney artificial intelligence tools, front-end web development, graphic design, and video editing.
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 5 million courses sold. Mammoth Interactive has released over 300 courses and 3,000 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.