Ethiopian Data Science and ML Community

🚀 Advance Your Career in Quantitative Finance! Applications for the WorldQuant University (WQU) Master of Science in Financial Engineering (MScFE) program are officially open. Whether you're looking to break into quantitative trading, risk management, data science, or financial analytics, this rigorous, practitioner-focused program covers everything from computational finance to advanced modeling. 📋 Admission & Transcript Requirements: * Bachelor's Degree: A completed undergraduate degree from a recognized institution. * Transcripts: * Application: You can upload a scanned copy of your transcript for your highest earned degree. * Enrollment/Acceptance: Official transcripts sent directly from your former college or university (via email or postal mail) are required upon acceptance (must be submitted by the end of your second course). * Quantitative Proficiency Test: Pass with a score of 75% or higher (covers math, stats, and basic Python). * English Proficiency: Required if your native language is not English or if your prior degree wasn't taught in English (TOEFL, IELTS, Duolingo, or PTE accepted). * Government-Issued Photo ID: Passport, national ID, or driver's license. 💡 Why WQU MScFE? * 100% Tuition-Free: Access high-tier quant education without traditional university overhead. * Flexible & Online: Designed for working professionals to study from anywhere in the world. * Industry-Relevant Curriculum: Master Python, R, stochastic calculus, machine learning, and portfolio optimization. Ready to take the next step in your quant journey? 👉 Apply here: https://www.wqu.edu/mscfe-apply #QuantFinance #FinancialEngineering #MachineLearning #Python #DataScience #CareerGrowth

📢 Important Course Update ሰላም ለሁላችሁ። በመጀመሪያ በዚህ ኮርስ ላይ ለምታሳዩት ፍላጎት እና ተሳትፎ እናመሰግናለን። የኮርሱን አቀራረብ ለማሻሻል ወስነናል። 🚨 ከዛሬ ጀምሮ የክፍል መርሃ ግብር ተቀይሯል። ከዚህ በፊት በሳምንት 3 ጊዜ የ1 ሰዓት Live Session እናደርግ ነበር። ከአሁን በኋላ ግን አንድ ሞጁል በጥልቀት እንዲማሩ በተሻለ መንገድ እናቀርባለን። ስለዚህ ክፍሎች በየሳምንቱ ወይም በሁለት ሳምንት አንድ ጊዜ የሚካሄዱ ረዘም ያሉ እና ዝርዝር የሆኑ Sessions ይሆናሉ። 🎯 የኮርሱ አዲስ መንገድ ኮርሱ በ3 ዋና ስፔሻላይዜሽን ይከፈላል። 1️⃣ Machine Learning Specialization ✅ Data Analysis ✅ Data Preprocessing ✅ Feature Engineering ✅ Regression Models ✅ Classification Models ✅ Model Evaluation ✅ Machine Learning Theory ✅ Real Kaggle Projects 2️⃣ Deep Learning Specialization ✅ Neural Networks ✅ Forward & Backpropagation ✅ CNN ✅ RNN ✅ LSTM ✅ Transformers ✅ Modern Deep Learning Architectures ✅ Real Deep Learning Projects 3️⃣ AI Agent Specialization ✅ AI Agents ✅ Multi-Agent Systems ✅ RAG Systems ✅ Agent Memory ✅ Agent Workflows ✅ Agent Tools ✅ Real Agent Applications 🚀 Final Community Project ከሶስቱ ስፔሻላይዜሽኖች በኋላ ሁላችንም በጋራ አንድ ትልቅ Project እንሰራለን። 🎯 ግባችን: ከመጀመሪያ ጀምሮ በአማርኛ ዳታ የተሰራ AI/LLM Model መገንባት ነው። ይህ ፕሮጀክት: ✅ Data Collection ✅ Data Cleaning ✅ Model Training ✅ Evaluation ✅ Application Development ✅ Public Release ያካትታል። ተማሪዎችም በፕሮጀክቱ ውስጥ በቀጥታ የመሳተፍ እድል ይኖራቸዋል። 📢 ለዛሬ ዛሬ የታቀደው ክፍል አይካሄድም። አዲሱን የኮርስ መርሃ ግብር እና ቀጣይ ቀን በቅርቡ እናሳውቃለን። 🙏 ለሁሉም ተማሪዎች እናመሰግናለን። ዓላማችን ኮርሱን በፍጥነት መጨረስ ሳይሆን በእውነተኛ የAI እና Machine Learning ችሎታ እንድታገኙ ማድረግ ነው። 🚀 ትልቅ ነገር እንገነባለን!

Day 4 Live Class – Your First Real Machine Learning Project ሰላም ለሁላችሁ! ዛሬ ከ Basic Python በኋላ ወደ እውነተኛ Data Science እና Machine Learning workflow እንገባለን። በዛሬው ክፍል Kaggle ውስጥ ካሉት በጣም ታዋቂ የMachine Learning ውድድሮች አንዱን እንጠቀማለን፦ ⏰ ሰዓት: ማታ 1:00 ሰዓት ኢትዮጵያ ሰዓት 🏠 House Prices: Advanced Regression Techniques 📚 በዛሬው ክፍል የምንሸፍነው ✅ Dataset ምንድነው? ✅ CSV ፋይል እንዴት ማንበብ እንደሚቻል ✅ Pandas በመጠቀም Data ማየት ✅ Data Exploration ✅ Missing Values ማግኘት ✅ Data Preprocessing ✅ Features እና Target መለየት ✅ Train/Test Split ✅ Machine Learning Model ማሰልጠን ✅ Model Evaluation ✅ Prediction ማድረግ ✅ Kaggle Submission File መፍጠር ✅ Kaggle ላይ Submission ማድረግ 🎯 የዛሬው ዋና ግብ ከመጀመሪያ እስከ መጨረሻ አንድ ሙሉ Machine Learning Project እንሰራለን። Data Scientist ወይም Machine Learning Engineer በእውነተኛ ፕሮጀክት ውስጥ የሚያደርገውን workflow በቀጥታ እናያለን። 💡 ከዚህ በኋላ NumPy, Pandas, Visualization, Feature Engineering እና Machine Learning Algorithms እያንዳንዳቸውን በጥልቀት እንማራለን። ነገር ግን ዛሬ መጀመሪያ ትልቁን ስዕል (Big Picture) እናያለን። 🔥 በክፍሉ መጨረሻ ላይ: ✅ Data ማንበብ ትችላላችሁ ✅ Data ማዘጋጀት ትችላላችሁ ✅ Model ማሰልጠን ትችላላችሁ ✅ Accuracy ማየት ትችላላችሁ ✅ Kaggle Submission ማድረግ ትችላላችሁ 📢 እባካችሁ Notebook ከፍታችሁ አብራችሁ code ሞክሩ። 📺 YouTube Live ላይ በሰዓቱ ተገኙ። 🚀 ዛሬ Data Science እና Machine Learning በእውነተኛ ፕሮጀክት እንጀምራለን!

We are live now on youtube

🚨 Day 3 Live Class – Final Python Class + Test ሰላም ለሁላችሁ። Day 3 የPython ትምህርታችን ዛሬ ይቀጥላል። ይህ ክፍል የBasic Python የመጨረሻ ክፍል ነው። ከዚህ በኋላ Pythonን በData Science, Machine Learning እና AI projects ውስጥ በተግባር መጠቀም እንጀምራለን። 📅 ቀን: ዛሬ ⏰ ሰዓት: ማታ 1:00 ሰዓት ኢትዮጵያ ሰዓት 🎥 Platform: YouTube Live 🔴 Day 3 YouTube Live Link: https://youtube.com/live/Ih-vM12OOVc?feature=share 📖 Day 3 Kaggle Notebook / Code Link: https://www.kaggle.com/code/yisberh/day-3-python-essentials-for-data-science-and-mac 📚 በDay 3 የምንማረው ✅ Conditions: if, elif, else ✅ Lists ✅ Loops ✅ Dictionaries ✅ List of Dictionaries ✅ Functions ✅ Mini Data Project ✅ Final Python Practice Test ይህ ክፍል በጣም አስፈላጊ ነው። Python basic foundation ለመዝጋት እና ወደ NumPy, Pandas, Data Science እና Machine Learning ለመግባት ይረዳናል። 📌 የትምህርቱ አሰራር እንዴት ነው? ✅ YouTube Live = ዋና ትምህርት ✅ Kaggle Notebook = code ለመከታተል እና ለመሞከር ✅ YouTube Live Chat = በLive ጊዜ ጥያቄ ለመጠየቅ ✅ Google Meet = Live ከተጠናቀቀ በኋላ Q&A Google Meet ዋና የትምህርት ቦታ አይደለም። ዋናው ትምህርት YouTube Live ላይ ነው። 🎤 Google Meet Q&A YouTube Live ከተጠናቀቀ በኋላ በ2–3 ደቂቃ ውስጥ Google Meet Q&A ይጀምራል። ጥያቄ ያላችሁ ተማሪዎች Google Meet ላይ መግባት እና መጠበቅ ትችላላችሁ። 🔗 Google Meet Link: https://meet.google.com/kpo-erdb-kjj 📢 YouTube Channel: https://www.youtube.com/@Pixelversity እባካችሁ በሰዓቱ ተገኙ፣ Notebook ክፈቱ፣ code አብራችሁ ሞክሩ፣ እና ለጓደኞቻችሁ share አድርጉ። ዛሬ ማታ 1:00 ሰዓት እንገናኝ! 🚀

live now on google meet https://meet.google.com/oku-fnsq-oeq

we are live now here link https://youtube.com/live/fhxY6XE_O2s?feature=share

Live class time has changed to 1:00

🚨 የDay 2 Live Class ማስታወሻ ሰላም ለሁላችሁ። Day 2 የPython ትምህርታችን ነገ ይቀጥላል። 📅 ቀን: ነገ ረቡዕ 📅 የኢትዮጵያ ቀን: ሰኔ 10, 2018 ⏰ ሰዓት: ከሰዓት 9:00 ሰዓት 🎥 Platform: YouTube Live 🔴 Day 2 YouTube Live Link: https://www.youtube.com/live/fhxY6XE_O2s?si=laWskUSYwzpX9Apz 📖 Day 2 Kaggle Notebook: https://www.kaggle.com/code/yisberh/day-2-python-operators-and-simple-calculations 📌 የትምህርቱ አሰራር እንዴት ነው? ዋናው ትምህርት ሁልጊዜ በ YouTube Live ላይ ይሆናል። Google Meet ዋና የትምህርት ቦታ አይደለም። Google Meet የሚጠቀምበት Live ከተጠናቀቀ በኋላ ለQ&A ብቻ ነው። ✅ YouTube Live = ዋና ትምህርት ✅ YouTube Live Chat = በLive ጊዜ ጥያቄ ለመጠየቅ ✅ Kaggle Notebook = code ለመከታተል እና ለመሞከር ✅ Google Meet = Live ካለቀ በኋላ 30 ደቂቃ Q&A 🎤 Google Meet Q&A YouTube Live ከተጠናቀቀ በኋላ በ2 ወይም 3 ደቂቃ ውስጥ Google Meet Q&A ይጀምራል። ጥያቄ መጠየቅ የምትፈልጉ ተማሪዎች Google Meet link ከፍታችሁ መጠበቅ ትችላላችሁ። Google Meet Link: https://meet.google.com/itx-ekhy-rnd 📅 የLive Class ቀናት ትምህርቱ በሳምንት 3 ጊዜ ይካሄዳል፦ ✅ Monday ✅ Wednesday ✅ Friday ⏰ ሁሉም Live Class ከሰዓት 9:00 ሰዓት ኢትዮጵያ ሰዓት ይጀምራል። 📚 በDay 2 የምንማረው: ✅ Arithmetic Operators ✅ Simple Calculations ✅ Assignment Operators ✅ Comparison Operators ✅ Boolean True / False ✅ f-strings ✅ Type Conversion ✅ Small practice examples እባካችሁ በሰዓቱ ተገኙ፣ Notebook ክፈቱ፣ እና በLive Chat ጥያቄ መጠየቅ አትፍሩ። YouTube Channel ላይ Subscribe አድርጉ: https://www.youtube.com/@Pixelversity ነገ ከሰዓት 9:00 ሰዓት እንገናኝ! 🚀

here is day one video https://www.youtube.com/live/VFj5gV1k6SQ?si=i7usHWKLFugjB4oY

Live on Google meet

🚨 ማስታወሻ: 20 ደቂቃ ብቻ ቀርቷል! ዛሬ 9:00 ሰዓት የመጀመሪያው የAI ትምህርት Live Session ይጀምራል። 🚀 በዛሬው ክፍል የምንማረው: ✅ Python ምንድን ነው? ✅ print() ✅ Variables ✅ Variable Naming Rules ✅ Data Types 📖 የዛሬው Notebook: [https://www.kaggle.com/code/yisberh/day-1-python-basics](https://www.kaggle.com/code/yisberh/day-1-python-basics) ከክፍሉ በኋላ እራሳችሁ ለመሞከር Kaggle Account መክፈት ትችላላችሁ። ### Kaggle Account እንዴት እንከፍታለን? 1. [https://www.kaggle.com](https://www.kaggle.com) ይክፈቱ 2. "Sign In" ወይም "Register" ይጫኑ 3. "Continue with Google" ይምረጡ 4. የGoogle Account ይጠቀሙ 5. ከገቡ በኋላ Notebook እና Code ማስኬድ ይችላሉ 💡 ዛሬ ክፍል ላይ ሁሉም Kaggle account ማዘጋጀት አያስፈልግም። በመጀመሪያ ክፍሉን ይከታተሉ፣ ከዚያ በኋላ እራሳችሁ መሞከር ትችላላችሁ። 🎥 Live Stream: [https://www.youtube.com/live/VFj5gV1k6SQ?si=nPHWf11Q1zZneIhx](https://www.youtube.com/live/VFj5gV1k6SQ?si=nPHWf11Q1zZneIhx) 🎤 ከLive Session በኋላ 30 ደቂቃ Google Meet Q&A ይኖራል: [https://meet.google.com/oku-fnsq-oeq](https://meet.google.com/oku-fnsq-oeq) በGoogle Meet ላይ በቀጥታ ጥያቄ መጠየቅ ይችላሉ። 9:00 ሰዓት እንገናኝ! 🚀

🚨 ማስታወሻ – ዛሬ የመጀመሪያው የAI ትምህርት Live Session አለ! 📅 ዛሬ (ሰኞ) ⏰ 9:00 ሰዓት ኢትዮጵያ ሰዓት (6/15/2026) 🎥 YouTube Live: [https://www.youtube.com/live/VFj5gV1k6SQ?si=nPHWf11Q1zZneIhx](https://www.youtube.com/live/VFj5gV1k6SQ?si=nPHWf11Q1zZneIhx) ዛሬ የምንማረው: ✅ Python ምንድን ነው? ✅ print() ✅ Variables ✅ Variable Naming Rules ✅ Data Types ✅ ቀላል ልምምዶች 🎤 Live Session ከተጠናቀቀ በኋላ 30 ደቂቃ Q&A Session ይኖራል። Google Meet: [https://meet.google.com/oku-fnsq-oeq](https://meet.google.com/oku-fnsq-oeq) በ Google Meet ላይ: ✅ ስለ ዛሬው ትምህርት ጥያቄ መጠየቅ ይችላሉ ✅ Python እና AI ጋር የተያያዙ ጥያቄዎች መጠየቅ ይችላሉ ✅ በድምጽ ወይም Chat መሳተፍ ይችላሉ ✅ ማንኛውንም የኮርሱ ጥያቄ ማንሳት ይችላሉ 📢 YouTube Channel: [https://www.youtube.com/@Pixelversity](https://www.youtube.com/@Pixelversity) እባካችሁ በሰዓቱ ተገኙ፣ Subscribe አድርጉ እና ለጓደኞቻችሁ Share አድርጉ። እንገናኝ 9:00 ሰዓት! 🚀

guys here is the link you can join live with this link please time 9:00 or 3pm EAT https://www.youtube.com/live/VFj5gV1k6SQ?si=eRnnmF3xuiBD0Wfs and please here is day 1 code link https://www.kaggle.com/code/yisberh/day-1-python-basics please everyone create kaggle.com acount for this course

guys repost this linkedin post https://www.linkedin.com/posts/yisak-bule_telegram-share-7471245101717979136-RKsJ/?utm_source=share&utm_medium=member_desktop&rcm=ACoAADgzfZkBA5bgkHa3GBTscggf6OHxIkOqrl0

ነፃ የAI ትምህርት በአማርኛ ይጀምራል! ሰላም ለሁላችሁ። በ Pixelversity YouTube channel ላይ ነፃ የAI ትምህርት ከመሰረቱ ጀምሮ እንጀምራለን። 📅 የመጀመሪያ ቀን: Monday, June 15, 2026 ⏰ ሰዓት: 3:00 PM Ethiopia Time 🎥 Introduction Class: YouTube Live በዚህ ኮርስ የምንማራቸው፦ ✅ Basic Python ✅ Data Science ✅ Machine Learning ✅ Deep Learning ✅ Generative AI ✅ RAG & AI Agents ✅ Real AI Projects 📌 የኮርሱ አቀራረብ በሳምንት 3 ጊዜ YouTube Live session እያንዳንዱ session ቢያንስ 1 ሰዓት በሳምንት 1 ጊዜ Zoom Discussion / Q&A Live session ከተጠናቀቀ በኋላ በYouTube ላይ ይቀመጣል 💡 Main course ሙሉ በሙሉ ነፃ ነው። Optional paid mentorship ደግሞ project review, personal guidance, GitHub/resume review እና one-on-one support ለሚፈልጉ ተማሪዎች ይኖራል። እባካችሁ የYouTube channel ላይ subscribe አድርጉ እና የመጀመሪያውን live class እንዳታመልጡ። 🔗 YouTube Channel: https://www.youtube.com/@Pixelversity ቢያንስ ለ5 ጓደኞቻችሁ share አድርጉ። 100 serious students ሲሞሉ ኮርሱን በጠንካራ ሁኔታ እንጀምራለን። 🚀

🚀 Free AI Course From Zero — Python to Deep Learning Hello everyone! I am planning to start a free 2-month AI course for beginners. This course will start from basic Python and slowly move into Machine Learning, Deep Learning, Generative AI, and real AI projects. But to begin this class, I need at least 100 serious students. So please, if you are interested, join and also share this message with at least 5 people who may want to learn AI. 📌 Course Plan ✅ 1. Basic Python Variables Conditions Loops Functions Lists and dictionaries Beginner Python projects ✅ 2. Python for Data Science NumPy Pandas Data cleaning Data visualization Working with CSV files ✅ 3. Math for AI Basic statistics Probability Vectors and matrices Gradient descent idea ✅ 4. Machine Learning Linear regression Logistic regression Decision trees Random forest Model evaluation Real ML projects ✅ 5. Deep Learning Neural networks Weights and bias Activation functions Loss function Backpropagation Image classification project ✅ 6. Generative AI Prompt engineering RAG basics AI agents basics Simple AI chatbot project 🎥 How the course will work Lessons will be uploaded on one YouTube channel Code will be shared for every video We will have live teaching sessions We will have live Q&A We will have group discussion and support The course duration is only 2 months 💰 Important Note The main course is free. For students who need personal support, project review, career guidance, or one-on-one help, there will also be a paid mentorship option. 🎯 Who can join? Complete beginners Students Anyone interested in AI Anyone who wants to build real AI projects Anyone who wants to start learning Python, ML, and Deep Learning 📢 Please help us reach 100 students so we can start the class. If you are interested, reply with: “I want to join” And please share this message with at least 5 friends. Let’s build a strong AI learning community together! 🔥 it start from next week june 15 2026

Free Beginner Machine Learning Full Course for Ethiopians! 🇪🇹 Hello Ethiopian Data Science & Machine Learning Community, We are excited to announce a complete beginner-friendly Machine Learning course designed for anyone who wants to start learning ML from zero. This course is for you if you are: ✅ New to Machine Learning ✅ Interested in Data Science and AI ✅ A student or self-learner ✅ Looking for practical, step-by-step lessons ✅ Want to build real ML projects We will cover: 📌 Python basics for ML 📌 Data cleaning and preprocessing 📌 Supervised and unsupervised learning 📌 Model training and evaluation 📌 Real-world ML projects 📌 How to continue learning AI and Data Science No advanced background is required. We will start from the basics and build everything step by step. Let’s learn together and grow the Ethiopian AI and Data Science community. 🇪🇹🤖 📢 Join us and share this with anyone interested in Machine Learning! also you can find more videos here https://www.youtube.com/@yisakbule please sub it

Call for Builders: Kifiya Inspire 3.0 Hackathon 10 Academy alumni, this one’s for you: build something real, test your skills, and stand out. This is your moment. Join Kifiya Inspire 3.0 and take on the challenge of shaping the future of fintech in Ethiopia by building intelligent, AI-driven infrastructure that can scale. ✔️ The Challenge: Design and build high-scale financial systems powered by AI ✔️ The Opportunity: Cash prizes + a fast-track to final-round interviews at Kifiya Financial Technology ✔️ Date: March 27–28 Build, compete, and show what you’re capable of. 🔗 Apply now: https://kifiya-inspire-3-0.devpost.com/?ref_feature=challenge&ref_medium=discover

Data Science and Machine Learning Mathematical and Statistical Methods #book #ML #DS