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Webinar: Stock Price Prediction using Hidden Markov Models
Agenda: The session will have a brief introduction to probabilistic graphical models , Hidden Markov Models . Following which we will look at how Hidden Markov Models are used to solve a problem in Financial Market Analysis like Stock Price Prediction.The language used for code demonstration is Python. Summary: HMMs are capable of predicting and analyzing time based phenomena because of which they are widely used in fields like Speech recognition , natural language processing and Financial Market Prediction.Stock market prediction has been one of the more active research areas in the past and various machine learning algorithms have been applied with varying degrees of success. Stock Price forecasting is still severely limited due to its non-stationary, seasonal, and unpredictable nature. HMMs are capable of modeling hidden state transitions from the sequential observed data. The problem of stock prediction can also be thought as following the same pattern.The price of the stock depends upon a multitude of factors which generally remain invisible to the investor (hidden variables). The transition between the underlying factors change based on company policy and decisions, its financial conditions, and management decisions, and these affect the price of the stock (observed data). So HMMs are a natural fit to the problem of price prediction. About the Speaker: Usha Rengaraju is a polymath and unicorn data scientist with strong foundations in Economics, Finance, Business Foundations, Business Analytics and Psychology. She specializes in Machine Learning, Probabilistic Graphical Models and Deep Learning. Having completed Financial Engineering and Risk Management program from Columbia University with top honors, micromasters in Marketing Analytics from UC Berkeley and statistical analysis in Life Sciences specialization from Harvard, she has around 5 years of technical experience working in various companies like NeoEyed, Infosys, Temenos and Mysuru Consulting group. Byte Academy (“Byte”) is a leader in industry oriented technology education with courses in Python software development, FinTech, Data Science and Blockchain. Byte provides short format immersive boot camps in industry-relevant technologies and is recognized for small classes, career assistance and sense of community. We established the first FinTech program in the world and also the first Python full-stack software development boot-camp in New York City, where it is headquartered. Learn more about Byte Academy at

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    This meetup is to promote community technology education and incubation. It is run by Byte Academy, a leading coding school headquartered in New York City with campuses in Singapore and Bangalore. Member interests may include: education, networking, startups, programming, Python, FinTech, MedTech, Data Science, women in tech, blockchain and more.

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    About Byte Academy: Byte Academy is a leader in industry-oriented technology education with courses in Python software development, FinTech (financial technology), Data Science, Blockchain and MedTech. Byte Academy established the first FinTech program in the world and the first Python fullstack software development bootcamp in New York City, where it is headquartered. It has a second campus in Singapore.

    Byte Academy is recognized for its small classes, career services and sense of community. Students hail from all over the world including countries such as Australia, Chile, Finland, Siberia, and Tunisia. Byte has brought thousands together from diverse backgrounds around the globe via its hackathons, conferences, founders’ talks, meetups and other events.

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