ikhomkodes - Invidious

ikhomkodes

👋 Hi, I’m @ikhomkodes
- 👀 interested in coding.
- 🌱 a Python Developer/Computer Vision Engineer/Digital Creator.

- 💞️ looking to collaborate on my YouTube channel by making useful videos on some useful tips on Linux/Tech/Programming.

-🗓 Set a reminder on your calendar as we're going to share amazing contents on ikhomkodes-kodecast mostly Friday at 20:00 pm.
-📕 Yes, note it 8 pm after you've accomplished all your daily works.
Get your coffee/tea and have a comfortable sit to hear from us.

- 📫 Please feel free to reach us @ikhomkodes in instagram and github.

- 📫 Join Our Discord Server:

discord.gg/bM2tXeXH7d

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ikhomkodes

How to optimally sample imbalanced Data?

Source: TheAiEdge.io

1 year ago | [YT] | 0

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ikhomkodes

Tuple:

Tuples are used to store multiple items in a single variable.

Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Set, and Dictionary, all with different qualities and usage.

Note: I've already discussed about List and Dictionary in my previous episodes. Please Please Please go through all the videos. :) I hope you got what I mean. :) Cheers!

Yeah, a tuple is a collection which is ordered and unchangeable.

Tuples are written with round brackets.

Here are the behind-the-scene-fingernails:)

I'm dropping my video on Tuples through @ikhomkodes3466 at sharp 20:00 tonight. Stay Tuned!
Happy Coding!

1 year ago | [YT] | 0

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ikhomkodes

Eid Mubarak!

Wishing you and your family a blessed Eid filled with happiness and cherished moments.

Happy Coding :)

‪@ikhomkodes3466‬

1 year ago | [YT] | 0

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ikhomkodes

ikhomkodes family wishes Eid Mubarak!

May this special day brings prosperity, joy, and harmony to all the people around the world.

‪@ikhomkodes3466‬

1 year ago | [YT] | 0

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ikhomkodes

Python tools used in Machine Learning
>_

‪@ikhomkodes3466‬

1 year ago | [YT] | 1

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ikhomkodes

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DevOps vs DataOps vs MLOps
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To stay ahead of the curve in the rapidly changing digital industry, it's critical to comprehend the distinctions and collaborations across DevOps, DataOps, and MLOps. Here's a quick breakdown. Let's explore this:

➡DevOps:
Continuous Integration (CI) and Continuous Deployment (CD) are two techniques used by DevOps to streamline the process from design to deployment, emphasizing collaboration between software developers and IT specialists.

➡DataOps:
DataOps, on the other hand, takes the principles of DevOps and applies them to data analytics, focusing on automation of the data flow from raw data to insights and ensuring data quality throughout the lifecycle.

➡MLOps:
MLOps, a machine learning-focused subset of DevOps, oversees the entire machine learning lifecycle, encompassing model training, validation, deployment, and retraining.

Each of these methodologies shares a common goal: to increase productivity, quality, and time-to-market through automation and better workflows. But they also address unique challenges specific to their domains.

‪@ikhomkodes3466‬
#kodecastwithkhom
#ikhomkodes
#data
#DevOps
#DataOps
#MLOps
img src: KrunalWaghmare