This is Matt Najarian and I have been working on data science and optimization for 7 years. Currently I am a lead data scientists working on IoT projects. I have gathered some notebooks, codes, and notes that I share here; as a reference for myself, and mybe as some guides for visitors.
Instead of reinventing the wheel, I will refer you to useful links that you may find useful. There are two websites that have useful cheat sheets for data scientist:
1- https://www.mit.edu/~amidi/teaching/
2- https://stanford.edu/~shervine/teaching/
One of my hobbies is working with my cluster. I have 3 normal PCs and one highend PC that I have installed several applications and platforms:
- Apache SuperSet (visit lohrasp.com)
- Hadoop
- Spark 3
- The current demo application (visit projects.lohrasp.com)
- PostgreSQL 14.0 and PgAdmin 4
- Cuda
As I learned spark, I decided to share what I learned both for my own reference future readers.
During my Ph.D. studies, with two of my friends we tutored TensorFlow. Check the following links for more information:
In in the python_codes subdirectory, I have included some of my personal and educational projects. Here is a list of items you will find:
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Python cheat sheet: I have noted down some tips and tricks while working on different projects which can be useful to you.
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Security Constrained Unit Commitment: Unit Commitment is the process of turning on (committing) resources to meet load and other market requirements. • Security-Constrained Unit Commitment (SCUC) commits units (electricity generators). while respecting limitations of the transmission system and unit. I have coded it in Java and Python.
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Maximizing Infrastructure Resiliency Under Budgetary Constraint: it is crucial for investment on resiliency to distribute budget among different resources, in a way that the effect is maximized. Check my paper in the following link: https://www.sciencedirect.com/science/article/abs/pii/S0951832019308336
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Component Importance: at the time of recovery from a disaster, some components play a more important. This is an ongoing research of mine to find those components. The codes include cool visualization (Cytoscape) and random graph generation codes.
There are some SQL cheatsheet and tips that I added to SQL folder
Visit the simple site the I have created using FastApi at http://projects.lohrasp.com/.
Here is a list of useful links that Steve Nouri has shared on his Twitter account. While I put them here for simplicity of acces, please also read on the Twitter.