32.9K
MAMore like this? Do you like the in depth feature engineering vids?? Lmk π
π«Άπ» :) #cleanaireacepace #featureengineering
@mar_antaya
#Feature Engineering
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519.3K
SAIdeas for your next engineering or creative project! βοΈπ
Tutorials β౨ΰ§:
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_
337.6K
WOπ How to Become an AI Engineer in 2026 π©π»βπ»Save for later
Step-by-step Roadmap
πΉ PHASE 1: Foundations (0β3 Months)
Donβt skip this. Weak foundations = stuck later.
1οΈβ£ Programming (Must-Have)
Python: loops, functions, OOP
Libraries: NumPy, Pandas, Matplotlib / Seaborn
π Practice daily:
LeetCode (easy)
HackerRank (Python)
2οΈβ£ Math for AI (Enough, not PhD level)
Focus only on:
Linear Algebra (vectors, matrices)
Probability & Statistics
Basic Calculus (idea of gradients)
π Conceptual understanding is enough β no heavy theory.
πΉ PHASE 2: Machine Learning (3β6 Months)
Learn:
Supervised & Unsupervised Learning
Feature Engineering
Model Evaluation
Algorithms:
Linear & Logistic Regression
KNN
Decision Trees
Random Forest
SVM
K-Means
Tools:
Scikit-learn
π Project Ideas:
House price prediction
Student performance prediction
Credit risk model
πΉ PHASE 3: Deep Learning & AI (6β10 Months)
Learn:
Neural Networks & Backpropagation
CNN (Images)
RNN / LSTM (Text)
Transformers (Basics)
Frameworks:
TensorFlow or PyTorch (choose ONE)
π Project Ideas:
Face mask detection
Image classifier
Spam email detector
Basic chatbot
πΉ PHASE 4: Modern AI (2025β2026) π₯
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)
π Project Ideas:
AI PDF Chat App
Resume Analyzer
AI Study Assistant
AI Customer Support Bot
πΉ 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
π 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 Pearsonβs 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
π 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.
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βTurn post notifications onπ
βFollow, like, share and comment
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π¨Disclaimer: No copyright infringement / DM for credits or post removal
π¨source: Unknown / Above image belongs to respective owners or designers
π¨ 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
82.0K
PE9 data projects ideas instead of doomscrolling:
(And there is a repo with the data :) )
π€ Machine Learning Projects
* Diabetes ClassificationοΏ½Build and compare classification models to show how data preprocessing, feature scaling, and hyperparameter tuning directly improve predictive performance.
* Heart Attack PredictionοΏ½Implement an end-to-end classification pipelineβfrom raw data to model evaluationβto demonstrate a realistic machine learning workflow.
* Medical Cost PredictionοΏ½Train a regression model to predict healthcare costs, emphasizing feature importance analysis and model optimization to explain what drives predictions.
π οΈ Data Engineering Projects
* NBA Player Statistics ETL PipelineοΏ½Design 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 KafkaοΏ½Build a scalable pipeline that processes streaming and batch data using Kafka, PostgreSQL, and Docker to demonstrate modern data flow architecture.
* Glassdoor Job Data PipelineοΏ½Scrape job postings, clean and structure the raw data, and prepare it for analysis and visualization to showcase real-world data ingestion challenges.
π Data Analytics Projects
* PokΓ©mon Dataset AnalysisοΏ½Perform exploratory data analysis and feature engineering to uncover patterns in PokΓ©mon characteristics such as types, stats, and legendary status.
* Automated EDA Tool ComparisonοΏ½Benchmark AutoViz, SweetViz, and Pandas Profiling across multiple datasets to evaluate performance, resource usage, and practical trade-offs.
* Exploratory Job Market AnalysisοΏ½Analyze cleaned job posting data to extract trends, key skills, and role distributions using visualizations and summary statistics.
ππ» Comment Β« data Β» to get the link to the repo and portfolio strategies!
@penelope_data
207.0K
ADCAD (Onshape): Digital sculpting. Runs in your browser.
FEA (Simscale): Virtual stress testing.
Caution: Donβt 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 β
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_
122.8K
WAThe secret to circuit design #electronics #engineering
@wasstronics
β¨ #Feature Engineering Discovery Guide
Instagram hosts thousands of posts under #Feature Engineering, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
#Feature Engineering is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @mech_design_nepal, @sagecadence_ and @woman.engineer are leading the way with their viral content. Browse these popular videos anonymously on Pictame.
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