32.9K
MAMore like this? Do you like the in depth feature engineering vids?? Lmk 😅🫶🏻 :) #cleanaireacepace #featureengineering
@mar_antaya
#Feature Engineering
Assista vídeos de Reels sobre Feature Engineering de pessoas de todo o mundo.
Assista anonimamente sem fazer login.
Pesquisas Relacionadas
30Reels em Alta
(12)
518.5K
SAIdeas 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
@sagecadence_
336.6K
WO🚀 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.
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#datascientist #aiengineer #codinglife #softwaredeveloper #programming
@woman.engineer
1.2M
ME100k 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
@mech_design_nepal
76.7K
DEMachine 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.
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#MachineLearning #DataScience #PearsonR #Correlation #FeatureEngineering #MLMath #Statistics #AI #DeepLearning #DataViz #deepragAI #LearnToCode #MLTips #EDA
@deeprag.ai
1.9K
SOContact us for help with simulations #cfd #ansys #engineering #engineeringsolutions #simulation
@solvenglabs
604
AIMore: @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
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💨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
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No copyright intended, credit remains to respective owners.
#artificialintelligence #machinelearning #deeplearning #aiwithai #ai #datascience #dataanalytics #datascientist #datavisualization #featureengineering
#featureiteration
@ai.artificialintelligence.ai
81.3K
PE9 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!
@penelope_data
206.7K
ADCAD (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
@adam.aero
22.3K
_JData 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
@_jyothikaaa
29.7K
MIWant 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!
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#instagram #trendingreels #transition #reels #studygram #engineering #mechanicalengineering #FiniteElementAnalysis #viral #reelsinstagram #reelkarofeelkaro #reelitfeelit #career #careeradvice #reelsvideo #reelsviral #automobile #aerospace
@mindful.muscle_
121.5K
WAThe secret to circuit design #electronics #engineering
@wasstronics
✨ Guia de Descoberta #Feature Engineering
O Instagram hospeda thousands of postagens sob #Feature Engineering, criando um dos ecossistemas visuais mais vibrantes da plataforma.
#Feature Engineering é uma das tendências mais envolventes no Instagram agora. Com mais de thousands of postagens nesta categoria, criadores como @mech_design_nepal, @sagecadence_ and @woman.engineer estão liderando com seu conteúdo viral. Navegue por esses vídeos populares anonimamente no Pictame.
O que está em alta em #Feature Engineering? Os vídeos Reels mais assistidos e o conteúdo viral estão destacados acima.
Categorias Populares
📹 Tendências de Vídeo: Descubra os últimos Reels e vídeos virais
📈 Estratégia de Hashtag: Explore opções de hashtag em alta para seu conteúdo
🌟 Criadores em Destaque: @mech_design_nepal, @sagecadence_, @woman.engineer e outros lideram a comunidade
Perguntas Frequentes Sobre #Feature Engineering
Com o Pictame, você pode navegar por todos os reels e vídeos de #Feature Engineering sem fazer login no Instagram. Nenhuma conta é necessária e sua atividade permanece privada.
Análise de Desempenho
Análise de 12 reels
💡 Posts top têm média de 573.9K visualizações (2.6x acima da média)
Publique regularmente 3-5x/semana em horários ativos
Dicas de Criação de Conteúdo e Estratégia
🔥 #Feature Engineering mostra alto potencial de engajamento - publique estrategicamente nos horários de pico
✍️ Legendas detalhadas com história funcionam bem - comprimento médio 742 caracteres
📹 Vídeos verticais de alta qualidade (9:16) funcionam melhor para #Feature Engineering - use boa iluminação e áudio claro
✨ Muitos criadores verificados estão ativos (33%) - estude o estilo de conteúdo deles
Pesquisas Populares Relacionadas a #Feature Engineering
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Explorar 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