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How to Validate Your Data With Statistical Tests in Python

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
The CPA Journal

Automating Data Analysis with Python Dashboards

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...
IEEE

A multidimensional indicator prediction assessment method based on time series and multiple linear regression model

Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...
IEEE

ŶUGO: Enhancing Power Consumption Predictions in Data Centers through Combined Multiple Linear Regression and Gradient Boosting Techniques on Hypervisor Load

Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...
GitHub

DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

The tracking speed (including detection and tracking speed) is test on an RTX 3090 GPU. Smaller detectors can achieve higher FPS, which indicates that DiffMOT can flexibly choose different detectors ...
GitHub

High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In ...

in-memory Use In-Memory as storage backend. redis Use Redis as storage backend. If you want to throttle the same Key at different locations in your program, make sure that Throttled receives the same ...