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coding.minku

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Here you will get source code of all projects For paid promotion message:- @sponsor_codingminkubot

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  • 7 янв. 2025 г.Want To Learn AI , ML DATA SCIENCE in 2025 Then Follow This Roadmap 👇 Step 1: Master Python & SQL 🐍🗄️ ✅ Python Basics: Loops, Functions, OOP, Exception Handling. ✅ Data Science Libraries: NumPy, Pandas, Matplotlib, Seaborn. ✅ SQL Mastery: Joins, Indexing, Window Functions, Query Optimization. 🔗 Resources: Python for Everybody (Free) SQL for Data Science (Free) --- Step 2: Build Strong Math & Stats Foundations 📊🧮 ✅ Linear Algebra: Vectors, Matrices, Eigenvalues. ✅ Probability & Statistics: Bayes Theorem, Normal Distribution, Hypothesis Testing. ✅ Calculus for ML: Differentiation, Gradients, Partial Derivatives. 🔗 Resources: Khan Academy - Linear Algebra StatQuest YouTube Channel --- Step 3: Learn Machine Learning Algorithms 🤖📈 ✅ Supervised Learning: Regression, Decision Trees, SVM, Naive Bayes. ✅ Unsupervised Learning: Clustering (K-Means, DBSCAN), PCA, Anomaly Detection. ✅ Model Evaluation: Bias-Variance Tradeoff, Overfitting, Cross-Validation. 🔗 Resources: Andrew Ng's ML Course (Free) Hands-On ML with Scikit-Learn, Keras, and TensorFlow (Book) --- Step 4: Explore Deep Learning & NLP 🧠💡 ✅ Neural Networks Basics: Forward/Backward Propagation, Activation Functions. ✅ Computer Vision: CNNs, Object Detection (YOLO, Faster R-CNN). ✅ NLP: Transformers, BERT, LLMs, Hugging Face. 🔗 Resources: Deep Learning Specialization - Andrew Ng Hugging Face Transformers Course (Free) --- Step 5: Work on Real-World Projects 🔥💻 ✅ End-to-End ML Pipelines: Data Cleaning, Feature Engineering, Model Deployment. ✅ Build AI Applications: Chatbots, Image Classification, AI Content Generators. ✅ Deploy Models: Flask, FastAPI, Streamlit, Docker. 🔗 Resources: Kaggle Competitions & Datasets Full-Stack Deep Learning Course --- Step 6: Stay Updated & Network 🌍📚 ✅ Follow AI Experts: Yann LeCun, Andrew Ng, Geoffrey Hinton. ✅ Read AI Blogs & Research: Papers with Code, arXiv, Towards Data Science. ✅ Join Communities: Kaggle, LinkedIn, Discord, X (Twitter). 🔗 Resources: Towards Data Science Blog Papers with Code0,21%
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  • 24 апр. 2025 г.Need a website that fits your budget💰? 💻✨ I create high-quality websites (frontend, backend, full-stack) 🔥 at very affordable prices🫠. DM me at @mr_minku and let’s build something awesome😍 without spending too much! 🥹 And if you need help with college projects too👀, feel free to DM me!0,17%
  • 27 июн. 2024 г.source code ⇊0,13%
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  • 6 янв. 2025 г.📅 Month 1: Foundations & Problem-Solving ✅ Python + JavaScript Basics (variables, loops, functions, OOP) ✅ Data Structures & Algorithms (arrays, recursion, linked lists, sorting) ✅ Solve 30-50 coding problems on LeetCode / Codeforces ✅ Build mini projects (calculator, to-do list, number guessing game) 📌 Resources: NeetCode, CS50, MDN Docs --- 📅 Month 2: Frontend & Backend Development ✅ Frontend: Learn React.js + Tailwind CSS (components, hooks, state management) ✅ Backend: Learn Node.js + Express.js + MongoDB (APIs, authentication, CRUD) ✅ Project: Build a full-stack To-Do app with user authentication 📌 Resources: React Docs, The Odin Project --- 📅 Month 3: Real-World Projects + Interview Prep ✅ Build 2-3 Full-Stack Projects (E-commerce, Blog, Social Media Clone) ✅ Solve 50+ LeetCode problems (medium-level DSA) ✅ Learn System Design Basics (scalability, database indexing) ✅ Revise Resume & LinkedIn Profile for job applications 📌 Resources: LeetCode, Roadmap.sh --- 🎯 "Follow this roadmap and land your first developer job in just 3 months!"0,10%
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