Pinned Repositories
ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
AI_Spectrum
Cleaning-Data-for-Effective-Data-Science
Cleaning Data for Effective Data Science, published by Packt
CRUD_django
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
databricksConnectDocker
Docker Images with Databricks Connect Ready to go
download
FeatureEngineering
gowithb_book Featurengineering
fem-easybank
Easybank landing page from Frontend Mentor
KeetaKummalai's Repositories
KeetaKummalai/ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
KeetaKummalai/AI_Spectrum
KeetaKummalai/Cleaning-Data-for-Effective-Data-Science
Cleaning Data for Effective Data Science, published by Packt
KeetaKummalai/CRUD_django
KeetaKummalai/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
KeetaKummalai/databricksConnectDocker
Docker Images with Databricks Connect Ready to go
KeetaKummalai/download
KeetaKummalai/FeatureEngineering
gowithb_book Featurengineering
KeetaKummalai/fem-easybank
Easybank landing page from Frontend Mentor
KeetaKummalai/folium-101
KeetaKummalai/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
KeetaKummalai/github-slideshow
A robot powered training repository :robot:
KeetaKummalai/github-upload
KeetaKummalai/Guided-Tour-of-Machine-Learning-in-Finance
machine learning specilization course 1
KeetaKummalai/guided_projects
KeetaKummalai/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
KeetaKummalai/IS-Topics-based-on-Sentiment
Part of Project Independent Study
KeetaKummalai/KeetaKummalai.github.io
KeetaKummalai/markdown-portfolio
KeetaKummalai/polygon_api
Getting Stock Pricing Data from the Polygon.io API using Python
KeetaKummalai/preprocess
KeetaKummalai/presentations
A central repository of Business Science presentations
KeetaKummalai/Problem-Solving-in-Data-Structures-Algorithms-using-Python
KeetaKummalai/Pydata_Yerevan_22
KeetaKummalai/Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
KeetaKummalai/QuantEcon.py
A community based Python library for quantitative economics
KeetaKummalai/realestateapp_streamlit
KeetaKummalai/sms-spam-classifier
End to end code for the email spam classifier project
KeetaKummalai/SQL-Cook-Book-Sample-Data
Example files for the book SQL Cookbook, by Anthony Molinaro
KeetaKummalai/test_edeploy