📢𝗗𝗮𝘆 𝟮𝟭/𝟭𝟬𝟬: 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗔𝗺𝗵𝗮𝗿𝗶𝗰 𝗡𝗘𝗥 𝗠𝗼𝗱𝗲𝗹𝘀

I fine-tuned models on 27,989 labeled examples, optimizing key parameters:

- Learning rate: Experimented to find the sweet spot.

- Batch size: Limited to 16 to manage memory constraints.

- Metrics: Focused on precision, recall, and F1-score.



💡 Finding: Smaller batches helped balance performance and computational efficiency.

💡 Question: How do you optimize parameters for low-resource NLP tasks?

#AI #ModelTraining #Ethiopia #NLP

Learn Object Oriented in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

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📢𝘿𝙖𝙮 22/100: 𝙏𝙝𝙚 𝙑𝙖𝙡𝙪𝙚 𝙤𝙛 𝘾𝙚𝙣𝙩𝙧𝙖𝙡𝙞𝙯𝙚𝙙 𝘿𝙖𝙩𝙖

Why is centralizing e-commerce data critical for Ethiopia?



- For vendors: Better visibility and reach.

- For customers: Streamlined product discovery.

- For analytics: Real-time insights into market trends.



💡 Question: What are the key challenges to centralizing data in emerging markets?

#ECommerce #DigitalTransformation #Ethiopia

Build Secure Password Generator: Tkinter Project https://www.youtube.com/watch?v=5XpcnqhgikM

🌟 𝘿𝙖𝙮 23/100: 𝙏𝙧𝙪𝙩𝙝 𝙤𝙧 𝙇𝙞𝙚: 𝙉𝙖𝙫𝙞𝙜𝙖𝙩𝙞𝙣𝙜 𝙅𝙤𝙗 𝙄𝙣𝙩𝙚𝙧𝙫𝙞𝙚𝙬𝙨 🌟

This morning, I received an exciting email: "Interview Invitation: AI Python and .NET Developer."

While I’m proficient in AI Python and have tackled many projects, .NET isn’t in my skill set. I faced a dilemma:

Exaggerate my expertise?
Or be honest about my strengths and gaps?
I chose truth. I emphasized my Python expertise and willingness to learn .NET.

💡 Lesson: Honesty builds trust and keeps doors open for the right opportunities.

Have you faced a similar situation? Let’s discuss in the comments! 🙌

I am excited to share with you the Python Programming for Beginners roadmap

Basic Python Programming: https://youtu.be/ISv6XIl1hn0

Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

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🌟𝘿𝙖𝙮 24/100: 𝙉𝙚𝙭𝙩 𝙎𝙩𝙚𝙥𝙨 𝙛𝙤𝙧 𝘾𝙚𝙣𝙩𝙧𝙖𝙡𝙞𝙯𝙚𝙙 𝙀-𝙘𝙤𝙢𝙢𝙚𝙧𝙘𝙚🌟



I'm moving closer to deploying a centralized e-commerce platform for Ethiopia.



Next steps:

1️⃣ Integrating XLM-Roberta for real-time entity extraction.

2️⃣ Expanding the dataset for even better performance.

3️⃣ Collaborating with vendors to enrich product listings.



💡 Takeaway: NLP-driven platforms like central e-commerce can redefine how e-commerce works in Ethiopia.



💡 Discussion: How can we scale similar platforms for other underrepresented markets?

#AI #ECommerce #FintechAfrica #Amharic

🌟𝘿𝙖𝙮 25/100: 𝙐𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙𝙞𝙣𝙜 𝙀𝙩𝙝𝙞𝙤𝙥𝙞𝙖𝙣 𝙁𝙞𝙣𝙩𝙚𝙘𝙝 🌟



Ethiopia's fintech ecosystem is a mix of challenges and opportunities. 📈🌍

From low formal banking penetration to an increasingly digital population, it’s clear that innovation in financial services is critical.



Key insights from my research today:

- Low banking penetration but high mobile adoption: Over 75% of transactions are cash-based, yet mobile payment systems like Telebirr are gaining traction.

- Regulatory frameworks: Ethiopia’s regulatory approach emphasizes financial inclusion but poses innovation challenges, especially for Buy-Now-Pay-Later services.

- Unique consumer behaviors: The dominance of informal financial systems and cash reliance shapes how Ethiopians engage with digital financial services.



💡 Question of the day: How can fintech drive financial literacy in Ethiopia to accelerate digital adoption?



#FintechAfrica #Ethiopia #Buy-Now-Pay-Later #FinancialLiteracy #DigitalTransformation

Learn genetic algorithms by solving Fibonacci sequences

https://www.youtube.com/watch?v=9M4ETVngWy4&list=PL0nX4ZoMtjYHV6n2-0taITMZlrd23hKL1&index=2

A step-by-step tutorial on how to build and publish your Python library https://youtu.be/ZQlDrNvQn6Y



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HAPPY NEW YEARS! MAY ALL YOUR DREAMS COME TRUE FOR 2025!

Happy print(sum(i**3 for i in range(10)))

Source: Andrew NG(The god father of AI)

Learn Python from scratch https://youtu.be/ISv6XIl1hn0
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🐍 POP QUIZ | Day 5: What type of module is the OS in Python?

Learn about handling files using the OS module in Python https://youtu.be/aWB3Ubb1UV0

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Creating and parsing XML documents in Python is valuable for managing and exchanging structured data. In this tutorial, you'll cover the basics of creating and parsing XML documents using Python's built-in XML module.

https://www.youtube.com/watch?v=WnbS90EzU0Y

A technique used to extract features from the text. It counts how many times a word appears in a document (corpus), and then transforms that information into a dataset.
https://youtu.be/tn-Tvi8CHmg

Functions in Python 🐢 for beginners with examples
https://www.youtube.com/watch?v=DlTJbaVHM3c

Local and global scope of functions https://www.youtube.com/watch?v=jJv-aFaddNw

Parameters vs positional arguments? https://www.youtube.com/watch?v=K-u3vndXulg

As a Developer, the best practice is writing clean, simple, concise, and readable code.

Learn about how to write clean code  https://youtu.be/upe7v7dhv0Y

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🐍 The most essential skill you must have as a Python Developer/Data Analyst/Data Scientist is membership operators.

In this short tutorial, you will learn about how to use membership operators in real world application.

👉👉https://youtu.be/Us-iQ_HbIrk

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🐍 As we know Python is dynamically typed programming language. We do not need to statically define the type of data before we use it like other programming language such as c++ and java.

However, we could also statically indicate type hint for variables. You can learn here 👉👉https://youtu.be/x5wM5M6MJbU

Algorithmic thinking with linear search example https://www.youtube.com/watch?v=f0KsENxdTGI