Search Results for "data quality cleansing"
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Showing 12 open source projects for "data quality cleansing"
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Prophet
Tool for producing high quality forecasts for time series data
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal... -
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Awesome-Quant
A curated list of insanely awesome libraries, packages and resources
awesome-quant is a curated list (“awesome list”) of libraries, packages, articles, and resources for quantitative finance (“quants”). It includes tools, frameworks, research papers, blogs, datasets, etc. It aims to help people working in algorithmic trading, quant investing, financial engineering, etc., find useful open source or educational resources. Licensed under typical “awesome” list standards. -
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Stock Viewer
See Stock Price , data and a quick assesment of Quality. also new IPOs
See Stock Price , data and a quick assessment of Quality. It also work with new IPOs Of course you should do your own research but this app will provide you with the data and a quick assessment of the quality of the stock. Warning: Please visit the website https://finnhub.io/ to get your own API key for Free ! You need to find this region on the .py file and put your API key between the "" # !!!!! -
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KherveSheet
Excel for scientists: high-quality plots, Python in cells, AI side bar
KherveSheet is a desktop spreadsheet application for scientists, built in Python and running on Windows. Plotting Charts are generated using matplotlib and embedded directly in the sheet as movable, resizable objects. You have full control over axes, scales, ticks, titles and grids. Curve fitting and peak fitting are supported, with goodness-of-fit reporting overlaid on the plot. Every cell can also run a full Python program, not just a formula. An integrated AI assistant can generate... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade automated trading system designed for the Kalshi event-based prediction market. Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages advanced quantitative strategies, machine learning techniques, and real-time data analysis to identify profitable trading opportunities while maintaining robust risk management protocols. ... -
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uniCenta POS
uniCenta oPOS - dynamically evolving POS project
Keep up-to-date with the latest news - Visit uniCenta's main site https://unicenta.com/about-unicenta-opos/unicenta-news/ uniCenta oPOS v5.0 is the latest community release. Get the latest uniCenta oPOS 5.4.0 https://unicenta.com/download-files/ if you would like to make a contribution and support the project or need business support help. 📢 uniCenta oPOS 5.4.0 in fully integrated with WooCommerce! ✅ Run your website and store with the same data ✅ Support table ordering at your... -
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EliteQuant
A list of online resources for quantitative modeling, trading, etc.
...Has criteria for recommending projects/resources to help keep quality up. -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
...The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc. -
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LedgerSMB
Building High Quality ERP and Accounting Software for SMB & SME
LedgerSMB is an ERP, featuring accounting (including AR, AP, and GL), quotation and order management, and more, for businesses with small to medium transaction volumes. The system has been shown to easily handle thousands of AR/AP transactions per week. Data integrity, security, quality, and responsiveness are key values for our community, both among the developers and, we hope, the users. Additionally we aim to make LedgerSMB into a platform to integrate with, or even serve as a framework for building, other applications. We highly value community contributions and aim to stimulate growth through a broad community by actively providing support and documentation. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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exportFromXL is a SAS macro for exporting data from Excel into CSV or TXT files using Dynamic Data Exchange. It works on all versions of PC SAS, Excel and Windows -- but notably not on any version of SAS running off of a server.
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exportToXL is a SAS macro for exporting data from PC SAS onto custom-formatted Excel spreadsheets using Dynamic Data Exchange. It works on all versions of PC SAS, Excel and Windows -- but notably not on any version of SAS running off of a server.
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Excel Quick Reports is a set of tools intended for quick WYSWIG prototiping and publishing of quality Excel reports (in Excel XML format). Reports are rendered using automatically generated XSLT and XML data extracted from database.
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