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Here at Minich Analytics, we dive deep into the world of data to uncover insights and make informed decisions. Whether you're a data enthusiast, aspiring analyst, or marketing professional , this channel is designed to equip you with the knowledge and tools you need to succeed.
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Another good video. For a portfolio project showing secrets is fine, but generally you would want something like your MongoDB uri to be in a .env file and NOT uploaded to GitHub. ChatGPT can be helpful to update the code.
This is an amazing walkthough. Only suggestion is either put the code in the git repo or be sure to allow for audience to see all of the code and markdown. You don't necessarily need to hang out on it forever but enough to allow us to easily pause so we can follow along. I learned a lot in this tutorial, thank you.
Thank you for the heads up. I really appreciate your request! It’s great to know there’s interest in advanced projects. We will look into it and find ways to create such content. Stay tuned.
Thank you for the heads up. We are working on kubeflow adn probably the others will follow letter. Stay tuned we'll be dropping tutorials on those soon.
00:52 - Creating Git Repository and Cloning 03:49 - Creating Python Environment in VS Code 06:35 - Project Files and Folders Using Template.py 15:40 - Creating a List of Dependencies in requirements.txt and setup.py 25:38 - Setting Up Logger 27:15 - Creating Custom Exception 28:41 - Utility Functions 31:47 - Setting Up Constant Files (params.yaml, schema.yaml, config.yaml) 32:20 - Committing Changes to Git Repo 36:50 - Installing Dependencies Using the Command pip install -r requirements.txt
04:45 - Defining Your Dockerfile 09:21 - Building the Docker Image 13:13 - Running Your Image Locally 21:15 - Testing with Input Data 22:50 - Stopping the Container 24:15 - Pushing Your Image to a Registry 30:11 - Introduction to Docker CI/CD 35:58 - Configuring Your CI/CD Pipeline 39:34 - Managing Secrets with GitHub Actions 44:32 - Automating Updates for Main Branch Changes
I made this project two times still getting the Nan value of T-test and p-value. While i cleaned data and there is no fault in my code .😭 Please help me anyone . I checked data is not normal and then used standard scaler still not showing change!!
