#Datascience Learning

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#Datascience Learning Reel by @maskedguyai - Amazing websites (part 96) visit uncensored.com the #1 uncensored AI chatbot #websites #aitools
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@maskedguyai
Amazing websites (part 96) visit uncensored.com the #1 uncensored AI chatbot #websites #aitools
#Datascience Learning Reel by @setupsai (verified account) - Powerful websites you should know (part 827) thousands of courses in almost any field #study #learn #programming
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@setupsai
Powerful websites you should know (part 827) thousands of courses in almost any field #study #learn #programming
#Datascience Learning Reel by @_rtr_vlogs_ - Free webinar😱⁉️ 
AI Machine learning & Data science
#rtr #rtrvlogs
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@_rtr_vlogs_
Free webinar😱⁉️ AI Machine learning & Data science #rtr #rtrvlogs
#Datascience Learning Reel by @the.datascience.gal (verified account) - Want to become a Machine Learning Engineer in 2025?
Build real projects that reflect how ML is done in the industry:

1 → End-to-End ML Pipeline
Predi
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@the.datascience.gal
Want to become a Machine Learning Engineer in 2025? Build real projects that reflect how ML is done in the industry: 1 → End-to-End ML Pipeline Predict something useful (like student dropout risk). Clean with Pandas, train with LightGBM, deploy with FastAPI + Docker + AWS. 2 → RAG Chatbot Build a chatbot that answers from your course notes. Use LlamaIndex + FAISS + Llama 3.1. This is how GenAI apps work today. 3 → Fine-Tune LLMs Take an open-source LLM and fine-tune it on your own dataset. Use QLoRA with PEFT. Example: medical Q&A bot. 4 → Model Monitoring Build a fraud detection model and track drift post-deployment using Evidently AI + Weights & Biases. Shows you think beyond training. 5 → Multimodal AI App Photo → nutrition info + recipe. Use CLIP or Florence-2 for vision-text, connect to LLaVA or Qwen-VL, deploy with Streamlit. This stack hits every part of the ML lifecycle—from classic ML to GenAI to production monitoring. [mlprojects, machinelearningengineer, genai, fine-tuning, ragchatbot, mlportfolio, endtoendpipeline, multimodalai, ai2025, llmengineer, mljobs, mlworkflow, productionai]
#Datascience Learning Reel by @priyal.py - Preprocessing pipeline for llm

#datascience #machinelearning #womeninstem #learningtogether #progresseveryday
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@priyal.py
Preprocessing pipeline for llm #datascience #machinelearning #womeninstem #learningtogether #progresseveryday
#Datascience Learning Reel by @the.datascience.gal (verified account) - Here's a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇

If you're tired of writing vanilla apps and want to build ML sy
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@the.datascience.gal
Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]
#Datascience Learning Reel by @cs.aar0n - data structures & algorithms #cscareeradvice #softwareengineerjobs #datastructuresandalgorithms
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@cs.aar0n
data structures & algorithms #cscareeradvice #softwareengineerjobs #datastructuresandalgorithms
#Datascience Learning Reel by @careerwithriya (verified account) - Level up your skills for FREE! 🎯 Complete these 6 courses and earn certificates from Google, Microsoft, IBM & W3Schools without paying a single rupee
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@careerwithriya
Level up your skills for FREE! 🎯 Complete these 6 courses and earn certificates from Google, Microsoft, IBM & W3Schools without paying a single rupee. Start today and boost your career! #FreeCourses #LearnOnline #SkillUp #CareerGrowth #GoogleAI #MicrosoftAI #PythonDeveloper #DataScience #MachineLearning #CyberSecurity #UpskillForFree #OnlineLearning #Certifications #CareerBoost
#Datascience Learning Reel by @vinnysaucee (verified account) - follow + comment "roadmap" for a 5-page guide on learning the math behind AI/ML/datascience.

#cs #learn #ai #datascience #math
#faang #college #quant
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@vinnysaucee
follow + comment “roadmap” for a 5-page guide on learning the math behind AI/ML/datascience. #cs #learn #ai #datascience #math #faang #college #quant #techinternships #leetcode
#Datascience Learning Reel by @helloworld_avani - 📌 "Confused about how to start your Machine Learning & AI journey? Here's your complete roadmap from zero to job-ready! 💻✨"

No more scrolling throu
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@helloworld_avani
📌 “Confused about how to start your Machine Learning & AI journey? Here’s your complete roadmap from zero to job-ready! 💻✨” No more scrolling through 100 videos — this 30 sec guide has everything you need to start & grow in ML! Save 🔖 | Share 🤝 | Follow @helloworld_avani for more! #machinelearning #artificialintelligence #pythonforbeginners #datasciencelearning #mlroadmap #techreels #codingjourney #learnwithme #careerinttech #reelsforstudents #studygramindia #trending #explorepage
#Datascience Learning Reel by @askdatadawn (verified account) - Tbh after being a Data Scientist for 6 years, I still don't know some stuff on that 2nd list 😅

Trying to learn ALL of Python at once is so intimidat
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@askdatadawn
Tbh after being a Data Scientist for 6 years, I still don’t know some stuff on that 2nd list 😅 Trying to learn ALL of Python at once is so intimidating Don’t put that pressure on yourself. Instead only focus on these must-know concepts, and you can ignore stuff on the “Not Now” list for now. MUST KNOW PYTHON CONCEPTS • Basic syntax: variables, data types, loops • Writing custom functions • Lists, tuples, dictionaries • List comprehensions • String manipulation • Reading and writing files • Try/except error handling • Importing and using libraries • Pandas basics – Series vs DataFrame • Selecting and filtering data • Groupby and aggregations • Merging or joining data • Sorting and ranking data • Handling missing values • Basic plotting – matplotlib • Working with dates – e.g. pd.to_datetime, .dt NOT NOW • Object oriented programming – classes, inheritance • Generators and decorators • Custom context managers • Writing modules or packages • Virtual environments and dependency management • Multiprocessing or multithreading • Async programming • Advanced pandas tuning – eval, query • Unit testing and CI/CD • Custom exception classes • Functional programming tricks – map, reduce, lambdas everywhere • Building web APIs – Flask, FastAPI #python #datascience #datascientist #datascienceinterview

✨ #Datascience Learning Discovery Guide

Instagram hosts 86K posts under #Datascience Learning, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.

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💡 Top performing posts average 2.9M views (2.5x above average). Moderate competition - consistent posting builds momentum.

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