Master the most in-demand skill-set of the world's top financial institutions with one of the most practical, comprehensive and affordable courses in Financial Machine Learning.

★ ★ Machine Learning in Finance ★ ★
Release Date: EST 1200 01-Dec
Learn more and register your interest here:
https://quantpy.com.au/machine-learni...

Why I started an online Course?
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★ The QuantPy Story ★
If you don't know me, my is Jonathon Emerick and I started a YouTube channel called QuantPy. I noticed a lack of video style quantitative finance resources online, and decided to embark on the journey of creating online tutorials and documenting my journey towards "becoming a Quant". The goal was to follow my interests in quantitative finance and attempt to help others along the way.

★ Collaboration with Hariom Tatsat ★
I never intended to make an online course, however at the end of 2021 I was introduced to Hariom Tatsat a co-author of the book "Machine Learning and Data Science Blueprints for Finance". Hariom has extensive market knowledge and experience in applying machine learning to many financial applications, having done so throughout his career working at large Investment Banks. Leaning on his years of experience and knowledge, he proposed creating a course that delivered a very complete and practical approach to the applications of machine learning in finance.

★ My Contribution ★
Along with my ability to explain complex financial topics simply and effectively, I have a strong interest in the potential applications of Machine Learning and AI within both my own industry, the energy industry, and the financial industry into the future. Hence I was happy to enbark on this collaboration, both for solidifying concepts I was introduced to while studying Financial Mathematics at University, as well as learning from the extensive experience Hariom has gained throughout his career in applying machine learning to real world problems.

★ Our Goal ★
We developed this course with an emphasis on providing value first and foremost. Therefore, we hope to have not only delivered a complete and practical course on Machine Learning in Finance, but most importantly an affordable course, having designed this program keeping students in mind. We know you'll appreciate the amount of value and insight provided by Hariom's experience and access to 15+ case studies with over 10,000+ lines of code applying machine learning to real world financial problems. For more details, please read the Machine Learning in Finance section of this website.

★ ★ QuantPy GitHub ★ ★
Collection of resources used on QuantPy YouTube channel. https://github.com/thequantpy

★ ★ Discord Community ★ ★
Join a small niche community of like-minded quants on discord.   / discord  

★ ★ Support our Patreon Community ★ ★
Get access to Jupyter Notebooks that can run in the browser without downloading python.
  / quantpy  

★ ★ ThetaData API ★ ★
ThetaData's API provides both realtime and historical options data for end-of-day, and intraday trades and quotes. Use coupon 'QPY1' to receive 20% off on your first month.
https://www.thetadata.net/

★ ★ Online Quant Tutorials ★ ★
WEBSITE: https://quantpy.com.au

★ ★ Contact Us ★ ★
EMAIL: [email protected]

Disclaimer: All ideas, opinions, recommendations and/or forecasts, expressed or implied in this content, are for informational and educational purposes only and should not be construed as financial product advice or an inducement or instruction to invest, trade, and/or speculate in the markets. Any action or refraining from action; investments, trades, and/or speculations made in light of the ideas, opinions, and/or forecasts, expressed or implied in this content, are committed at your own risk an consequence, financial or otherwise. As an affiliate of ThetaData, QuantPy Pty Ltd is compensated for any purchases made through the link provided in this description.