Name: Saikiran Kopparthi
Type: User
Bio: Chartered Financial Analyst, Equity Research, Machine Learning, Deep Learning, NLP, Python, Advances in Financial Machine Learning
Twitter: iamksaikiran
Location: Chennai
Blog: https://www.linkedin.com/in/saikiran-kopparthi-cfa-06a4b1a3/
Saikiran Kopparthi's Projects
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
random applications built using the Spawner API.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Ayam calculations based on vishwakarma prakashita vastu
Code for cd0377- Introduction to Natural Language Processing taught by Luis Serrano and Arpan Chakraborty
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
Deep Learning Study Group
Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677
Recipes for Driverless AI
Contains files related to content and project of DSND Term 2
Python package to interact with Factiva news-related APIs. Services are described in the Dow Jones Developer Platform.
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
Financial Sentiment Analysis with BERT
Machine Learning for Finance, published by Packt
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Free MLOps course from DataTalks.Club
A Live Movie Rating Dataset Collected From Twitter
Natural Language Processing Best Practices & Examples
The full dataset behind paperswithcode.com
From Simplilearn Course
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.