LATEST STORIES
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Adding the Machine Learning Module or the Deep Learning Module to the Flask App
Adding the Machine Learning Module or the Deep Learning Module if you have not created a algorithm to deploy or implement into your flask app you can follow on previous section. So for this part I have taken some jupyter notebook code or added my trained model, & generalized into function call here Add Machine… Read more
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Test Monte Carlo Simulation with the API data
Now to utilize our Monte Carlo Simulation were going need data if you skipped that section you can go back and get stock data for this model to work. There are many examples of the Monte Carlo Simulation its a well used algorithm it can used more for than just stock prices. Here some videos… Read more
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Rapid Prototype Workshop: Part 1. Flask App Backend
Rapid Prototype Development: From Idea to Deployment for AI & ML Welcome students or self-taught learns, thank you for coming to read this article. You are here because you have a lot of grit, awareness, cleverness, energy, & time to build something of value for others and yourself. However, as you know today, there are so… Read more
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Setting Up a Flask App and Deploying It Via Google Cloud
In this tutorial, we will walk through the process of creating a basic Flask application, setting up configurations via an .env file, enabling CORS, and deploying the app to Google Cloud Platform (GCP). 0. Requirements skip this step if you well experienced with python Install python depending on your windows & MacOS ] Click the… Read more
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Competitor Analysis for Software Products
Overview: Competitive Analysis of Software When making a competitive analysis of software you could utilize the number of users, revenue a company is making, and so on. However, what it comes down to time and time again is User Experience & Design. Multi-billion dollar companies such as Apple and TikTok understand good design and tools… Read more
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3 Mistakes I learned from my Start-Up
The author reflects on three critical mistakes made during their start-up, OpenVessel. Key insights include the importance of a clear value proposition, avoiding unnecessarily complex problems, and not assembling a team without adequate funding. Despite failures, the experience offered valuable lessons and career advancements for the team members involved. Read more
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