Tender Details

Country: Chile
Summary: Le-1870 Course Introduction to Data Mining and Machine Learning
CLT Ref No: 98856344
Deadline: 21 Mar 2024
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 1605-13-LE24
Purchaser's Detail:
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Description:
Name of the tender:Le-1870 Introduction to Data Mining and Machine Learning Course
Description: The Internal Revenue Service, within the framework of its Institutional Training Program for the year 2024, requires hiring a closed Introduction to Mining course Data and Machine Led0311b314139639afa8d9993705f8a28arning, in virtual mode (synchronous), in accordance with the specific conditions indicated in the Technical Bases, Part III, of this tender. The course must address matters related to data (pre)processing (cleaning, transformation, grouping, among others ), learning modelsd0311b314139639afa8d9993705f8a28supervised design (linear regression, decision trees, among others), unsupervised learning models (clustering, PCA, association, among others) and associated metrics for evaluation
Type of tender: Public -Public Tenderd0311b314139639afa8d9993705f8a28equal to or greater than 100 UTM and less than 1,000 UTM (LE)
Fecha de Cierre :21-03-2024 16:00:00
Documents:

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Le-1870 Course Introduction to Data Mining and Machine Learning - Chile Tender

The INTERNAL REVENUE SERVICE ADDRESS, a Government sector organization in Chile, has announced a new tender for Le-1870 Course Introduction to Data Mining and Machine Learning. This tender is published on ChileTenders under CLT Ref No: 98856344 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2024-03-21.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.