#featureengineering ผลการค้นหา

#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.

theemeraldco's tweet image. #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.

dsaic_dekut's tweet image. 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.
dsaic_dekut's tweet image. 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.
dsaic_dekut's tweet image. 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.

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

hamilton_os's tweet image. 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

hamilton_os's tweet image. 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

#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

KirkDBorne's tweet image. #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

Feature engineering creates new inputs from raw data to improve model performance. #FeatureEngineering #MachineLearning

datacated_'s tweet image. Feature engineering creates new inputs from raw data to improve model performance. 

#FeatureEngineering #MachineLearning

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…

hamilton_os's tweet image. 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…

Feature Engineering: The Secret to Better Models! Feature Engineering is where data scientists turn raw data into gold! ✨ I'm learning how to clean & transform data for better model accuracy. Have you tried Feature Engineering before? 🤔 #FeatureEngineering #DataScience

Abdul_Latif_206's tweet image. Feature Engineering: The Secret to Better Models!
Feature Engineering is where data scientists turn raw data into gold! ✨

I'm learning how to clean & transform data for better model accuracy. Have you tried Feature Engineering before? 🤔
#FeatureEngineering #DataScience

🚀 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

Data_Prof_SXR's tweet image. 🚀 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

Feature engineering is key to making models more accurate and finding better insights. #FeatureEngineering #DataScience #MachineLearning

datacated_'s tweet image. Feature engineering is key to making models more accurate and finding better insights. 

#FeatureEngineering #DataScience #MachineLearning

ML confusion: Is a binary column (0/1) numerical or categorical? #MachineLearning #DataScience #FeatureEngineering


Writing nested loops for all feature pair combinations gets messy with more features and easily introduces bugs. itertools.combinations() automatically generates all unique pairs without the complexity and bugs. #FeatureEngineering #MachineLearning #Python

KhuyenTran16's tweet image. Writing nested loops for all feature pair combinations gets messy with more features and easily introduces bugs.

itertools.combinations() automatically generates all unique pairs without the complexity and bugs. 

#FeatureEngineering #MachineLearning #Python

Want to improve your models? Try feature engineering! Simple tricks like handling missing data and creating new features can make a big difference. For more tips and tricks, follow @DATAcated! #MachineLearning #DataScience #FeatureEngineering


🔥 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

ds4b_es's tweet image. 🔥 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


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

Infernox07's tweet image. 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


ไม่พบผลลัพธ์สำหรับ "#featureengineering"

#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.

theemeraldco's tweet image. #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.

dsaic_dekut's tweet image. 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.
dsaic_dekut's tweet image. 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.
dsaic_dekut's tweet image. 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.

"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

PacktPublishing's tweet image. "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

[対談動画公開] dotData社CEOの藤巻遼平氏と弊社CSO 鈴木いっぺいとの対談動画です。 #生成ai #featureengineering hubs.ly/Q02gSNLX0

creationline's tweet image. [対談動画公開]
dotData社CEOの藤巻遼平氏と弊社CSO 鈴木いっぺいとの対談動画です。
#生成ai
#featureengineering
hubs.ly/Q02gSNLX0

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

KhuyenTran16's tweet image. 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

#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

KirkDBorne's tweet image. #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 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

hamilton_os's tweet image. 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

Feature Engineering: The Secret to Better Models! Feature Engineering is where data scientists turn raw data into gold! ✨ I'm learning how to clean & transform data for better model accuracy. Have you tried Feature Engineering before? 🤔 #FeatureEngineering #DataScience

Abdul_Latif_206's tweet image. Feature Engineering: The Secret to Better Models!
Feature Engineering is where data scientists turn raw data into gold! ✨

I'm learning how to clean & transform data for better model accuracy. Have you tried Feature Engineering before? 🤔
#FeatureEngineering #DataScience

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

hamilton_os's tweet image. 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

🚀 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

Data_Prof_SXR's tweet image. 🚀 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

#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:…

KirkDBorne's tweet image. #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:…

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…

hamilton_os's tweet image. 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…

1/n 🎨 Is Data Science an Art? 🎨 You will often hear this question, and it is partly true. 🤔 You need to be creative 🌀. And one of the most critical steps to unlocking that creativity is feature engineering 🧠. #MachineLearning #FeatureEngineering #DataScience 🤖

ndemir's tweet image. 1/n 🎨 Is Data Science an Art? 🎨
You will often hear this question, and it is partly true. 🤔 You need to be creative 🌀. And one of the most critical steps to unlocking that creativity is feature engineering 🧠.

#MachineLearning #FeatureEngineering #DataScience 🤖

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