Code With MEMO

Trust the process... We have another day, another chance. One day, we will win over life

Only programmers understand this.🥱🥱🥱

🚀 Roadmap to Master Data Science in 60 Days! 📊🧠  📅 Week 1–2: Foundations  🔹 Day 1–5: Python basics (variables, loops, functions)  🔹 Day 6–10: NumPy  Pandas for data handling  📅 Week 3–4: Data Visualization  Statistics  🔹 Day 11–15: Matplotlib, Seaborn, Plotly  🔹 Day 16–20: Descriptive stats, probability, distributions  📅 Week 5–6: Data Cleaning  EDA  🔹 Day 21–25: Missing data, outliers, data types  🔹 Day 26–30: Exploratory Data Analysis (EDA) projects  📅 Week 7–8: Machine Learning  🔹 Day 31–35: Regression, Classification (Scikit-learn)  🔹 Day 36–40: Model tuning, metrics, cross-validation  📅 Week 9–10: Advanced Concepts  🔹 Day 41–45: Clustering, PCA, Time Series basics  🔹 Day 46–50: NLP or Deep Learning (basics with TensorFlow/Keras)  📅 Week 11–12: Projects  Deployment  🔹 Day 51–55: Build 2 projects (e.g., Loan Prediction, Sentiment Analysis)  🔹 Day 56–60: Deploy using Streamlit, Flask + GitHub  🧰 Tools to Learn:  • Jupyter, Google Colab  • Git  GitHub  • Excel, SQL basics  • Power BI/Tableau (optional)

🎙 LIVE Session: LLMs Under the Hood 📅 Date: Wednesday, April 22, 2026 ⏰ Time: 8:00 PM 💡 Session Focus: ✨ How Large Language Models (LLMs) work internally ✨ Key concepts behind AI systems like ChatGPT ✨ Model training, tokens, and transformers explained ✨ Real-world AI applications and use cases ✨ Career insights in AI Engineering 👤 Guest Speaker: Yonatan Getachew -Join his channel AI Engineer | 4th Year Computer Science Student 📺 Join us live on Telegram Telegram|LinkedIn|YouTube | Tiktok |

Sunday❤️❤️

Ethiopia😭😭

"the UI is quite simple, the client will easily figure it out" the client :

People Explaining API be like:

Confused between ML, NLP, Generative, and other AI models? 🤔 Here’s a quick breakdown of the 6 most important types of AI models you must understand in 2026👇 1. Machine Learning Models 🤖 They learn from labeled and unlabeled data to classify, predict, and detect patterns. Think decision trees, SVMs, and XGBoost. 2. Deep Learning Models 🧠 Neural networks built for unstructured data like images, audio, and text. Includes CNNs, RNNs, Transformers, and GANs. 3. NLP Models 💬 Focused on understanding and generating human language - used in chatbots, summarizers, and assistants like GPT and BERT. 4. Generative Models ✨ These models create, from text to images to music. Powered by models like GPT-4, DALL·E, and StyleGAN. 5. Hybrid Models 🔗 Combine the best of rule-based and neural AI. Perfect for use cases needing both reasoning and context awareness (e.g., RAG pipelines). 6. Computer Vision Models 👁 Built for images and videos. Used in object detection, facial recognition, and medical scans - powered by models like YOLO and ResNet. Each AI model has its strengths and knowing which one fits your use case is half the battle. Save this guide as your cheat sheet! 📝✅

1. በሰንበትም መጨረሻ መጀመሪያው ቀን ሲነጋ መግደላዊት ማርያምና ሁለተኛይቱ ማርያም መቃብሩን ሊያዩ መጡ። 2 እነሆም፥ የጌታ መልአክ ከሰማይ ስለ ወረደ ታላቅ የምድር መናወጥ ሆነ፤ ቀርቦም ድንጋዩን አንከባሎ በላዩ ተቀመጠ። 3መልኩም እንደ መብረቅ ልብሱም እንደ በረዶ ነጭ ነበረ። 4ጠባቆቹም እርሱን ከመፍራት የተነሣ ተናወጡ እንደ ሞቱም ሆኑ። 5መልአኩም መልሶ ሴቶቹን አላቸው፦ እናንተስ አትፍሩ የተሰቀለውን ኢየሱስን እንድትሹ አውቃለሁና፤ 6እንደ ተናገረ ተነሥቶአልና በዚህ የለም፤ የተኛበትን ስፍራ ኑና እዩ። 7ፈጥናችሁም ሂዱና፦ ከሙታን ተነሣ፥ እነሆም፥ ወደ ገሊላ ይቀድማችኋል በዚያም ታዩታላችሁ ብላችሁ ለደቀ መዛሙርቱ ንገሩአቸው። 8እነሆም፥ ነገርኋችሁ። በፍርሃትና በታላቅ ደስታም ፈጥነው ከመቃብር ሄዱ፥ ለደቀ መዛሙርቱም ሊያወሩ ሮጡ። 9እነሆም፥ ኢየሱስ አገኛቸውና፦ ደስ ይበላችሁ አላቸው። እነርሱም ቀርበው እግሩን ይዘው ሰገዱለት። 10በዚያን ጊዜ ኢየሱስ፦ አትፍሩ፤ ሄዳችሁ ወደ ገሊላ እንዲሄዱ ለወንድሞቼ ተናገሩ፥ በዚያም ያዩኛል አላቸው።         ማቴ 28:1-10

✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟      ክርስቶስ ተንስአ እሙታን         በዓቢይ ኃይል ወስልጣን              አሠሮ ለሰይጣን                አግአዞ ለአዳም                     ሰላም                  እም ይእዜሰ                       ኮነ                 ፍስሐ ወሰላም ✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟ እንኳን አደረሳችሁ ❤❤

Hello fam a bit challenging week for me, sorry I will back soon........

We have Isaac Newton (Physics), Sigmund Freud (Psychology) blah blah blah... but bro😂

ሆሳዕና በአርያም ❤