forgxyz,Jack Forgash,forgash_,github

Hi there 👋

About Me

I'm an Analytics Engineer @FlipsideCrypto with a passion for learning and growing.

Stats for fun

I am certainly not an early bird, but I like the commit by time table

I'm an Early 🐤

🌞 Morning                15553 commits       ███████░░░░░░░░░░░░░░░░░░   29.77 % 
🌆 Daytime                29988 commits       ██████████████░░░░░░░░░░░   57.40 % 
🌃 Evening                6528 commits        ███░░░░░░░░░░░░░░░░░░░░░░   12.49 % 
🌙 Night                  178 commits         ░░░░░░░░░░░░░░░░░░░░░░░░░   00.34 %

📅 I'm Most Productive on Tuesday

Monday                   8946 commits        ████░░░░░░░░░░░░░░░░░░░░░   17.12 % 
Tuesday                  11599 commits       ██████░░░░░░░░░░░░░░░░░░░   22.20 % 
Wednesday                10859 commits       █████░░░░░░░░░░░░░░░░░░░░   20.78 % 
Thursday                 11305 commits       █████░░░░░░░░░░░░░░░░░░░░   21.64 % 
Friday                   8186 commits        ████░░░░░░░░░░░░░░░░░░░░░   15.67 % 
Saturday                 680 commits         ░░░░░░░░░░░░░░░░░░░░░░░░░   01.30 % 
Sunday                   672 commits         ░░░░░░░░░░░░░░░░░░░░░░░░░   01.29 %

📊 This Week I Spent My Time On

🐱‍💻 Projects: 
near-models              59 mins             ██████████████████░░░░░░░   73.37 % 
flow-models              21 mins             ███████░░░░░░░░░░░░░░░░░░   26.63 % 

💻 Operating System: 
WSL                      48 mins             ███████████████░░░░░░░░░░   59.57 % 
Mac                      32 mins             ██████████░░░░░░░░░░░░░░░   40.43 %

Last Updated on 24/05/2024 06:18:55 UTC

Thanks

anmol098

Find Me

Throw out your conceited opinions, for it is impossible for a person to begin to learn what he thinks he already knows.

Jack Forgash's Projects

anchor_dashboard

dbt data models for Anchor Protocol's financial health dashboard.

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

cs50w

This course picks up where Harvard University’s CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Topics include database design, scalability, security, and user experience. Through hands-on projects, students learn to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. By semester’s end, students emerge with knowledge and experience in principles, languages, and tools that empower them to design and deploy applications on the Internet.

cs50x

Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches you how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. Designed for majors and non-majors alike, with or without prior programming experience. 68% of CS50 students have never taken CS before.