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Quels hashtags dois-je utiliser avec #Feature Engineering ?

Consultez la section "Recherches Associées" en bas de la page pour voir les hashtags fréquemment utilisés avec #Feature Engineering.

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#Feature Engineering

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Reels en Tendance

(12)

#Feature Engineering Reel by @mar_antaya (verified account) - More like this? Do you like the in depth feature engineering vids?? Lmk 😅🫶🏻 :) #cleanaireacepace #featureengineering — More like this? Do you like the in depth feature engineering vids?? Lmk 😅🫶🏻 :) #cleanaireacepace #featureengineering

#Feature Engineering Reel by @sagecadence_ (verified account) - Ideas for your next engineering or creative project! ⭐️📀

Tutorials ⋆౨ৎ:
1. Music LED Box, by motadacruz on instructables.com

2. Infrared Home Intru — Ideas for your next engineering or creative project! ⭐️📀 Tutorials ⋆౨ৎ: 1. Music LED Box, by motadacruz on instructables.com 2. Infrared Home Intrusion System, by Florian Wilhelm Dirnberger on hackaday.io 3. Retro Style Radio, by mircemk on hackaday.io 4. LED Cube 8x8x8, by chr instructables.com 5. Multi-touch table, by Jamaal_7lna on instructables.com #projectideas #engineeringproject #diyprojects #collegestudent #womeninstem

#Feature Engineering Reel by @woman.engineer (verified account) - 🚀 How to Become an AI Engineer in 2026 👩🏻‍💻Save for later
Step-by-step Roadmap
🔹 PHASE 1: Foundations (0-3 Months)
Don't skip this. Weak foundat — 🚀 How to Become an AI Engineer in 2026 👩🏻‍💻Save for later Step-by-step Roadmap 🔹 PHASE 1: Foundations (0–3 Months) Don’t skip this. Weak foundations = stuck later. 1️⃣ Programming (Must-Have) Python: loops, functions, OOP Libraries: NumPy, Pandas, Matplotlib / Seaborn 📌 Practice daily: LeetCode (easy) HackerRank (Python) 2️⃣ Math for AI (Enough, not PhD level) Focus only on: Linear Algebra (vectors, matrices) Probability & Statistics Basic Calculus (idea of gradients) 📌 Conceptual understanding is enough — no heavy theory. 🔹 PHASE 2: Machine Learning (3–6 Months) Learn: Supervised & Unsupervised Learning Feature Engineering Model Evaluation Algorithms: Linear & Logistic Regression KNN Decision Trees Random Forest SVM K-Means Tools: Scikit-learn 📌 Project Ideas: House price prediction Student performance prediction Credit risk model 🔹 PHASE 3: Deep Learning & AI (6–10 Months) Learn: Neural Networks & Backpropagation CNN (Images) RNN / LSTM (Text) Transformers (Basics) Frameworks: TensorFlow or PyTorch (choose ONE) 📌 Project Ideas: Face mask detection Image classifier Spam email detector Basic chatbot 🔹 PHASE 4: Modern AI (2025–2026) 🔥 This is where the JOBS are coming from. Learn: Generative AI Large Language Models (LLMs) Prompt Engineering RAG (Retrieval-Augmented Generation) Fine-tuning models Tools: OpenAI API Hugging Face LangChain Vector Databases (FAISS / Pinecone) 📌 Project Ideas: AI PDF Chat App Resume Analyzer AI Study Assistant AI Customer Support Bot 🔹 PHASE 5: MLOps & Deployment (CRITICAL) Learn: Git & GitHub Docker (basics) FastAPI / Flask Cloud basics (AWS or GCP) Deploy: ML models as APIs AI apps on the cloud 📌 Recruiters LOVE deployed projects. . . . #datascientist #aiengineer #codinglife #softwaredeveloper #programming

#Feature Engineering Reel by @mech_design_nepal - 100k Views
Description**
Designing an impeller in SolidWorks is an essential skill for engineers working on pumps, turbines, and fluid-moving system — 100k Views Description** Designing an impeller in SolidWorks is an essential skill for engineers working on pumps, turbines, and fluid-moving systems. By using tools like lofts, sweeps, circular patterns, and parametric modeling, you can efficiently create a high-performance impeller. This tutorial will guide you through the step-by-step process of designing an impeller with optimized blade profiles, ensuring smooth fluid flow and efficient energy conversion. **Working and Uses** The design process starts with sketching the hub and blade profiles, followed by applying loft or sweep features to create the impeller blades. Using circular patterns, the blades are replicated around the central axis for a symmetrical and balanced design. Uses: 1. Designing pump impellers for efficient water and fluid movement. 2. Creating turbine impellers for improved energy conversion in power plants. 3. Developing blower and compressor impellers for industrial air circulation. Follow @Mech_design_Nepal for more insights! #Mech_design_Nepal #follow #share #reels #SolidWorks #ImpellerDesign #CADModeling #3DDesign #PumpEngineering #MechanicalEngineering #CFD #FluidDynamics #EngineeringDesign

#Feature Engineering Reel by @deeprag.ai - Machine Learning Math- Correlation Coefficient (r)
The correlation coefficient (r).... often called Pearson's r measures the linear relationship betwe — Machine Learning Math- Correlation Coefficient (r) The correlation coefficient (r).... often called Pearson’s r measures the linear relationship between two variables. Values range from -1 (perfect negative correlation) through 0 (no linear relationship) to +1 (perfect positive correlation). Why it matters for ML: helps with feature selection (drop highly correlated features to avoid multicollinearity) reveals whether input features move together or cancel each other out guides preprocessing steps (scaling, PCA, regularization) quick sanity-check before training complex models Use this video to learn what r means visually, how to compute it, and real examples where checking correlation saves your model performance. Credits: 3 minute data science 👉 Follow @deeprag.ai for more bite-sized ML math, practical tips, and growth hacks for AI creators. . . . #MachineLearning #DataScience #PearsonR #Correlation #FeatureEngineering #MLMath #Statistics #AI #DeepLearning #DataViz #deepragAI #LearnToCode #MLTips #EDA

#Feature Engineering Reel by @solvenglabs - Contact us for help with simulations #cfd #ansys #engineering #engineeringsolutions #simulation — Contact us for help with simulations #cfd #ansys #engineering #engineeringsolutions #simulation

#Feature Engineering Reel by @ai.artificialintelligence.ai - More: @ai.artificialintelligence.ai
Steps for Feature Engineering! 5.Feature Iteration
@ai.artificialintelligence.ai
@ai.artificialintelligence.ai
@a — More: @ai.artificialintelligence.ai Steps for Feature Engineering! 5.Feature Iteration @ai.artificialintelligence.ai @ai.artificialintelligence.ai @ai.artificialintelligence.ai The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another. ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ✔Turn post notifications on🔔 ✔Follow, like, share and comment ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 💨Disclaimer: No copyright infringement / DM for credits or post removal 💨source: Unknown / Above image belongs to respective owners or designers 💨 Image or content is used for nonprofit only ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ . . . . . . . No copyright intended, credit remains to respective owners. #artificialintelligence #machinelearning #deeplearning #aiwithai #ai #datascience #dataanalytics #datascientist #datavisualization #featureengineering #featureiteration

#Feature Engineering Reel by @penelope_data - 9 data projects ideas instead of doomscrolling:

(And there is a repo with the data :) )

🤖 Machine Learning Projects
* Diabetes Classification�Build — 9 data projects ideas instead of doomscrolling: (And there is a repo with the data :) ) 🤖 Machine Learning Projects * Diabetes Classification�Build and compare classification models to show how data preprocessing, feature scaling, and hyperparameter tuning directly improve predictive performance. * Heart Attack Prediction�Implement an end-to-end classification pipeline—from raw data to model evaluation—to demonstrate a realistic machine learning workflow. * Medical Cost Prediction�Train a regression model to predict healthcare costs, emphasizing feature importance analysis and model optimization to explain what drives predictions. 🛠️ Data Engineering Projects * NBA Player Statistics ETL Pipeline�Design an ETL pipeline that extracts player statistics, cleans and transforms the data, and stores it in a relational database for reliable downstream analysis. * Real-Time & Batch Data Pipelines with Kafka�Build a scalable pipeline that processes streaming and batch data using Kafka, PostgreSQL, and Docker to demonstrate modern data flow architecture. * Glassdoor Job Data Pipeline�Scrape job postings, clean and structure the raw data, and prepare it for analysis and visualization to showcase real-world data ingestion challenges. 📊 Data Analytics Projects * Pokémon Dataset Analysis�Perform exploratory data analysis and feature engineering to uncover patterns in Pokémon characteristics such as types, stats, and legendary status. * Automated EDA Tool Comparison�Benchmark AutoViz, SweetViz, and Pandas Profiling across multiple datasets to evaluate performance, resource usage, and practical trade-offs. * Exploratory Job Market Analysis�Analyze cleaned job posting data to extract trends, key skills, and role distributions using visualizations and summary statistics. 👉🏻 Comment « data » to get the link to the repo and portfolio strategies!

#Feature Engineering Reel by @adam.aero (verified account) - CAD (Onshape): Digital sculpting. Runs in your browser.

FEA (Simscale): Virtual stress testing.
Caution: Don't spend 40 hours on a simulation when a — CAD (Onshape): Digital sculpting. Runs in your browser. FEA (Simscale): Virtual stress testing. Caution: Don’t spend 40 hours on a simulation when a 5-minute physical test will give you the answer. CFD (Simscale): Digital wind tunnel. Great for guidance, but real-world air is the ultimate judge #engineeringprojects #buildinpublic #futureengineers #engineeringstudents #aerospaceengineering

#Feature Engineering Reel by @_jyothikaaa - Data Science ante model build cheyadam kaadu.
Data ni clean cheyadam, transform cheyadam, prepare cheyadam real skill.

Feature Engineering & Preproce — Data Science ante model build cheyadam kaadu. Data ni clean cheyadam, transform cheyadam, prepare cheyadam real skill. Feature Engineering & Preprocessing — 70% of real-world ML work happens here. Projects > Theory. #DataScienceStudent #FeatureEngineering #MachineLearningJourney #PythonDeveloper #AIStudent BuildInPublic CodingLife DataProjects FutureDataScientist TechSkills

#Feature Engineering Reel by @mindful.muscle_ - Want to master FEA pre-processing? Here are the top courses that will teach you everything you need to know about using industry-leading tools like AN — Want to master FEA pre-processing? Here are the top courses that will teach you everything you need to know about using industry-leading tools like ANSA and HyperMesh! Whether you're prepping complex geometries or refining meshes for simulations, these courses will level up your skills and help you tackle any project with confidence. Get ready to transform your simulations! . . . . . . . . . . . #instagram #trendingreels #transition #reels #studygram #engineering #mechanicalengineering #FiniteElementAnalysis #viral #reelsinstagram #reelkarofeelkaro #reelitfeelit #career #careeradvice #reelsvideo #reelsviral #automobile #aerospace

#Feature Engineering Reel by @wasstronics - The secret to circuit design #electronics #engineering — The secret to circuit design #electronics #engineering

✨ Guide de Découverte #Feature Engineering

Instagram héberge thousands of publications sous #Feature Engineering, créant l'un des écosystèmes visuels les plus dynamiques de la plateforme.

#Feature Engineering est l'une des tendances les plus engageantes sur Instagram en ce moment. Avec plus de thousands of publications dans cette catégorie, des créateurs comme @mech_design_nepal, @sagecadence_ and @woman.engineer mènent la danse avec leur contenu viral. Parcourez ces vidéos populaires anonymement sur Pictame.

Qu'est-ce qui est tendance dans #Feature Engineering ? Les vidéos Reels les plus regardées et le contenu viral sont présentés ci-dessus.

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📹 Tendances Vidéo: Découvrez les derniers Reels et vidéos virales

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🌟 Créateurs en Vedette: @mech_design_nepal, @sagecadence_, @woman.engineer et d'autres mènent la communauté

Questions Fréquentes Sur #Feature Engineering

Avec Pictame, vous pouvez parcourir tous les reels et vidéos #Feature Engineering sans vous connecter à Instagram. Aucun compte requis et votre activité reste privée.

Analyse de Performance

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💡 Posts top moyennent 574.0K vues (2.6x au-dessus moyenne)

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💡 Le meilleur contenu obtient plus de 10K vues - concentrez-vous sur les 3 premières secondes

✍️ Légendes détaillées avec histoire fonctionnent bien - longueur moyenne 742 caractères

✨ Beaucoup de créateurs vérifiés sont actifs (33%) - étudiez leur style de contenu

📹 Les vidéos verticales de haute qualité (9:16) fonctionnent mieux pour #Feature Engineering - utilisez un bon éclairage et un son clair

Recherches Populaires Liées à #Feature Engineering

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Explorer Feature Engineering#engine#himalayan 450 engine features#unreal engine 5 game engine features#dominar 250 engine features#r15s engine features#apache rr310 engine features#engineer#feature