Name: Satya Prakash Pattnaik
Type: User
Company: Microsoft
Bio: Data & Applied Scientist at Microsoft. I have an affinity towards Machine/Deep Learning, XAI, MLops, Time Series, Causal Inference etc.
Twitter: SatyaPattnaik26
Location: Hyderabad
Blog: https://www.linkedin.com/in/satya-pattnaik-77a430144/
Satya Prakash Pattnaik's Projects
A collection of research papers on decision, classification and regression trees with implementations.
I have tried to solve some complex SQL interview questions that had been asked in several company. Collected this question from Ankit Bansal. He made a organized playlist along with the solution. I have tried to figure out them first and then checked whether my query is correct or no. Thanks in advance.
A condition random field model to detect the parties who have signed for a contract from a pdf.
A deep learning probabilistic model composed of Restricted Boltzmann Machines.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark
sktime enhancement proposals
Friday Forecasting Talks materials
Content for Udacity's Machine Learning curriculum
A collection of machine learning examples and tutorials.
Resources for "Natural Language Processing" Coursera course.
An open-source, low-code machine learning library in Python
Config files for my GitHub profile.
scikit-learn compatible tools for building credit risk acceptance models
A unified framework for machine learning with time series