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Targeting the Right Audience: A Data-Driven Approach to Customer Segmentation

Mlearning.ai

In the plots below I will rename 0, 1, 2, 3 and 4 to ‘HI-LS’, ’MI-MS’, ‘HI-HS’, ‘LI-HS’ & ‘LI-LS to reflect the above definition. Where HI means high income, LI means low income, HL means high spending, LI means low spending, MI and MS means medium income and medium spending. groupby('Segment').mean()

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LangChain SQL Agent for Massive Documents Interaction

Towards AI

Consider, for example, the product datasheet PDF for ‘XBO 1000 W/HS OF.’ 6,000 K (Daylight)_Wattage: 450…10,000 W_Very good color rendering index: Ra >Product datasheet XBO 1000 W/HS OFRXBO for cinema projection U+007C Xenon short-arc lamps 450…10,000 W[.]

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AI Use Cases for Cyber and Malware Analysts

DataRobot

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models , HS Anderson, P Roth – arXiv preprint arXiv:1804.04637, 2018. SoReL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection , R Harang, EM Rudd – arXiv preprint arXiv:2012.07634, 2020. See DataRobot in Action. Request a Demo.

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning Blog

Column Name Description Age Continuous Workclass Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked fnlwgt continuous education Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.

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