#featureengineering 搜尋結果
#FeatureEngineering allows us to transform raw data into detection by extracting features like elevation, slope & mineral composition from the ground. By combining them with chemical analysis, we can predict #emerald presence more efficiently!💎 Read.
Our very own @maryk_analyst took us through the techniques and strategies for data transformation under our topic of the week #FeatureEngineering. She's completing her degree in #BBIT, and yes, she's a good teacher/coach/guide/instructor.
Feature engineering creates new inputs from raw data to improve model performance. #FeatureEngineering #MachineLearning
Feature Engineering #FeatureEngineering imp.i384100.net/c/2840738/1242…
ML confusion: Is a binary column (0/1) numerical or categorical? #MachineLearning #DataScience #FeatureEngineering
🚀 New Post: Boost Models Unlock model potential with expert feature engineering techniques.... 🔗 Read more: kubaik.github.io/boost-models #FeatureEngineering #MachineLearning #WomenWhoCode #AIModeling #coding
Happy Tuesday! 🗞️ News: New Release 1.55.0 is out! 🎉 New user contributed @DataPolars materializers. 📚 Documentation updates: Hamilton vs @dagster vs @ApacheAirflow 🎥 Recordings on building a #FeatureCatalog & #FeatureEngineering More in thread... 1/n
Feature engineering is key to making models more accurate and finding better insights. #FeatureEngineering #DataScience #MachineLearning
🚀 Built an AI agent using CrewAI and llama-3.3-nemotron-super-49b-v1 for feature engineering! It suggests new features & writes Python code—saving hours for data scientists. Want to see it in action? Drop a 🔥! 💡 #AI #DataScience #featureengineering
A Tutorial on Time #FeatureEngineering! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java v#GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Series-Feature…
Happy Friday! #ICYMI we have added @bytewax to show the streaming side of our "write once & run anywhere" #featureengineering example. With Hamilton you can have a whole feature + #ML pipeline set up & easily change what you need to execute for #batch, #streaming, & #online. 1/3
#FeatureEngineering in Practice — Approaching (Almost) Any #MachineLearning Problem! ⬇️ Get book: amzn.to/2XJUczh by @abhi1thakur (4X @Kaggle Grandmaster) -or- Download PDF copy: github.com/abhishekkrthak… ————— #BigData #AI #DataScience #DataScientists #DeepLearning #Python
Happy Tuesday! Exciting new writeup on #featureengineering with #hamiltonos. We discuss how you can use hamilton to share code between batch and online contexts, making well-organized, extensible, and consistent feature pipelines. blog.dagworks.io/p/feature-engi…
Why Are Feature Engineering Techniques Essential for Data Analysis? itdigest.com/computer-scien… #dataanalysis #engineering #FeatureEngineering #ITDigest #PrincipalComponentAnalysis #TechniquesEssentialun #conventionaltechniques
Feature Engineering #FeatureEngineering imp.i384100.net/c/2840738/1242…
#Python #FeatureEngineering Cookbook with 70+ recipes for creating, engineering, & transforming features for #MachineLearning models: amzn.to/3Ssdh5X by @Soledad_Galli ➕ See her course: trainindata.com/p/feature-sele… ———— #AI #ML #DataLiteracy #DataScience #DataScientist
#Python #FeatureEngineering Cookbook with 70+ recipes for creating, engineering, & transforming features for #MachineLearning models (2nd Ed.): amzn.to/3Ssdh5X by @Soledad_Galli — #AI #DataStrategy #DataLiteracy #DataScience #DataScientist ➕ See her course:…
#VrtrEX Daily Contract Knowledge Point (New Issue 111) 💡 Topic: Feature Engineering in AI Quantization 🔹 Different features determine the model's "mindset" 🔹 Precisely selecting metrics to improve prediction accuracy #VrtrEX #FeatureEngineering #AIQuantization
So the next phase of my project is experimenting with feature ideas and measuring how each affects ROC-AUC. Small, steady improvements, that’s how real performance is built. Progress > Perfection 💪🔥 #MachineLearning #FeatureEngineering #Kaggle #DataScience #AIJourney
🚀 New Post: Boost Models Unlock model potential with expert feature engineering techniques.... 🔗 Read more: kubaik.github.io/boost-models #FeatureEngineering #MachineLearning #WomenWhoCode #AIModeling #coding
Feature engineering is the secret sauce for strong machine learning in healthcare. Choosing and shaping the right data points can greatly boost model performance. #MachineLearning #FeatureEngineering #HealthcareAnalytics #ClinicalData #DataScience
#Python #FeatureEngineering Cookbook with 70+ recipes for creating, engineering, & transforming features for #MachineLearning models: amzn.to/3Ssdh5X by @Soledad_Galli ➕ See her course: trainindata.com/p/feature-sele… ———— #AI #ML #DataLiteracy #DataScience #DataScientist
🔥 La ventaja ya no está en saber programar. Está en saber pensar con IA. Ejemplo: “Qué features puedo crear que mejoren mi modelo de churn.” Esa pregunta vale más que mil líneas de código. #AI #FeatureEngineering #IA #DataScience f.mtr.cool/addkmvnkqt
Next, I engineered new metrics: Dealer Margin (MSRP – Invoice) HP per Price Torque per Price Efficiency Score Engine Size Category These features unlock deeper performance and value comparisons. #FeatureEngineering #ExcelTips
Unlock the power of Large Language Models with these advanced Python tricks! 🚀 Enhance your ML models with TF-IDF + embeddings, topic clusters, sentiment features, and more! #MachineLearning #Python #FeatureEngineering #NLP machinelearningmastery.com/7-advanced-fea…
Day 92 Deep dived into Feature Engineering today — 🔹 Scaling, Standardization & Normalization 🔹 Encoding categorical data & One-Hot Encoding 🔹 Used Column Transformers for smooth preprocessing #100DaysOfDataScience #MachineLearning #FeatureEngineering
Just wrapped up my Data Science interview — from an online test to a Snowflake feature engineering project and two ML-focused rounds. A great 10-day learning experience in feature stores, data pipelines, and ML prep. #DataScience #Snowflake #FeatureEngineering
FE clg assignment done! Data never lies it just needs some engineering 🙂↕️ #FeatureEngineering #DataScience #AI
Day 90 Focused on the art behind the numbers: - Data Cleaning & Feature Engineering - Turning insights into stories through Data Storytelling - Defined Business KPIs that actually drive decision #100DaysOfDataScience #DataAnalytics #FeatureEngineering #PowerBI
Revolutionizing Network Security with Smart Feature Engineering! Nomination Open Now : superiorengineering.org/award-nominati… #sciencefather #researchaward #FeatureEngineering #NetworkSecurity #AnomalyDetection #CyberInnovation
Enhance your feature engineering game with Large Language Models! 🚀 Learn how to fuse structured data with text for powerful downstream models. #MachineLearning #DataScience #FeatureEngineering #LLMs 🔗 machinelearningmastery.com/5-advanced-fea…
Top predictors? median_income (0.38) INLAND (0.17) rooms_per_household (0.11) Each variable tells a story about how people and place shape value. #FeatureEngineering #DataStories
#FeatureEngineering allows us to transform raw data into detection by extracting features like elevation, slope & mineral composition from the ground. By combining them with chemical analysis, we can predict #emerald presence more efficiently!💎 Read.
Our very own @maryk_analyst took us through the techniques and strategies for data transformation under our topic of the week #FeatureEngineering. She's completing her degree in #BBIT, and yes, she's a good teacher/coach/guide/instructor.
All you need to know about Feature Engineering 👇 #machinelearning #FeatureEngineering serokell.io/blog/feature-e…
"Soledad Galli provides a comprehensive guide to feature engineering in Python" --Russell Pollari, CEO of SharpestMinds Pick up the book here: packt.link/j3T5H #MachineLearning #FeatureEngineering #Python #Tensforflow #Pytorch
A Tutorial on Time Series #FeatureEngineering! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java v#GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Series-Feature…
#FeatureEngineering in Practice — Approaching (Almost) Any #MachineLearning Problem! ⬇️ Get book: amzn.to/2XJUczh by @abhi1thakur (4X @Kaggle Grandmaster) -or- Download PDF copy: github.com/abhishekkrthak… ————— #BigData #AI #DataScience #DataScientists #DeepLearning #Python
Why Are Feature Engineering Techniques Essential for Data Analysis? itdigest.com/computer-scien… #dataanalysis #engineering #FeatureEngineering #ITDigest #PrincipalComponentAnalysis #TechniquesEssentialun #conventionaltechniques
7 of the Most Used-#FeatureEngineering Techniques. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Hands-on-Featu…
A Tutorial on Time #FeatureEngineering! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java v#GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Series-Feature…
Happy Tuesday! Exciting new writeup on #featureengineering with #hamiltonos. We discuss how you can use hamilton to share code between batch and online contexts, making well-organized, extensible, and consistent feature pipelines. blog.dagworks.io/p/feature-engi…
🚀 Built an AI agent using CrewAI and llama-3.3-nemotron-super-49b-v1 for feature engineering! It suggests new features & writes Python code—saving hours for data scientists. Want to see it in action? Drop a 🔥! 💡 #AI #DataScience #featureengineering
Both Pandas and Polars are robust data manipulation tools, but their syntaxes differ subtly. Polars tends to use more explicit, verb-based methods, while Pandas leverages more concise bracket notation. #DataScience #pandas #FeatureEngineering #DataPreprocessing
Happy Friday! #ICYMI we have added @bytewax to show the streaming side of our "write once & run anywhere" #featureengineering example. With Hamilton you can have a whole feature + #ML pipeline set up & easily change what you need to execute for #batch, #streaming, & #online. 1/3
Happy Tuesday! 🗞️ News: New Release 1.55.0 is out! 🎉 New user contributed @DataPolars materializers. 📚 Documentation updates: Hamilton vs @dagster vs @ApacheAirflow 🎥 Recordings on building a #FeatureCatalog & #FeatureEngineering More in thread... 1/n
#Python #FeatureEngineering Cookbook with 70+ recipes for creating, engineering, & transforming features for #MachineLearning models (2nd Ed.): amzn.to/3Ssdh5X by @Soledad_Galli — #AI #DataStrategy #DataLiteracy #DataScience #DataScientist ➕ See her course:…
Feature engineering creates new inputs from raw data to improve model performance. #FeatureEngineering #MachineLearning
#Python #FeatureEngineering Cookbook with 70+ recipes for creating, engineering, & transforming features for #MachineLearning models: amzn.to/3Ssdh5X by @Soledad_Galli ➕ See her course: trainindata.com/p/feature-sele… ———— #AI #ML #DataLiteracy #DataScience #DataScientist
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