Search Results for "python data analysis"
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Showing 6 open source projects for "python data analysis"
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Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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Calculation of camshafts - allows to define a camshaft profile on the set trajectory which should provide the given mechanism. The trajectory can be set graphically, co-ordinates or function.
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Libraries, documentation, examples & drivers for Eagle Technology South Africa's Data Acquisition products. These include ISA, PCI, PCI Express, USB, Serial & Ethernet. Supported languages will be C/C++, JAVA, Perl, Python.
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A project to host code developed for the Microtransat challenge, a race between autonomous sailing robots. This project is intended for both supporting code such as tracking systems and robot control systems or parts of robot control systems.
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This is the public icram.de code repository filled with code/code-snippets and other useful stuff.
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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Concurrent vision processing system; Toolkit for easy implementation of software concurrent vision processing sub-system. Aimed at robotic applications w/best effort realtime. System includes: capture,processing and displaying.
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UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and Conditional Random Fields.
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