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@axingxz4: #policeofficer #copsoftiktok #bodycam #foryou

axingxz4
axingxz4
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Monday 29 September 2025 07:28:51 GMT
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aj.r.exe
AJ🇱🇧🍉 :
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2025-09-29 15:24:07
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2025-10-02 14:32:35
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Kimmy Burley :
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2025-10-07 06:52:41
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📚 RESOURCES I PERSONALLY USED TO STUDY DATA SCIENCE The Resources That Helped Me Go From Learning → Building 🚀 If you’re starting Data Science, don’t collect 100 courses. Build a small, reliable resource stack and actually use it. Here are the types of resources I personally recommend using throughout the journey. 👇 🐍 PYTHON 📘 Python documentation 🎓 freeCodeCamp 🐍 Real Python 💻 Kaggle Learn Focus on: Python fundamentals → NumPy → Pandas → Matplotlib 📊 STATISTICS & MATH 📐 3Blue1Brown 📊 StatQuest 🎓 Khan Academy Learn: Probability → Statistics → Linear Algebra → Calculus basics 🤖 MACHINE LEARNING 🧠 Scikit-learn documentation 📚 Hands-On Machine Learning 🎓 Andrew Ng’s Machine Learning courses 📊 Kaggle Learn Don’t just learn algorithms. Understand: How they work → When to use them → How to evaluate them 🧠 DEEP LEARNING 🔥 PyTorch documentation 🤗 Hugging Face 🎓 fast.ai 📚 Deep Learning Specialization Learn: Neural Networks → CNNs → RNNs → Transformers 🤖 GENERATIVE AI 📚 Hugging Face 🧠 Model documentation 🔎 RAG documentation 💻 LLM provider documentation Learn: LLMs → Embeddings → RAG → Tool Calling → Agents → Evaluation 💻 PRACTICE 🐙 GitHub 📊 Kaggle 🧩 LeetCode 💻 HackerRank Learning without practice doesn’t stick. Build projects while learning. ⸻ 🚀 PROJECT INSPIRATION Look at: 📊 Kaggle datasets 🐙 GitHub repositories 🏆 Kaggle competitions 💼 Real-world business problems Don’t copy projects. Rebuild them and understand every decision. 🧭 MY SIMPLE RESOURCE STACK Python ⬇️ Math + Statistics ⬇️ Data Analysis ⬇️ Machine Learning ⬇️ Deep Learning ⬇️ Generative AI ⬇️ Real Projects ⬇️ 🚀 Portfolio 💡 The best resource isn’t the one with the highest rating. It’s the one you actually finish, practice, and apply. Learn → Practice → Build → Share → Repeat. 📌 Save this if you’re building your Data Science learning stack. #DataScience #DataScientist #MachineLearning #creatorsearchinsights #datascience
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