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Analytics Insight13h

Top Regression Techniques Every Data Scientist Should Learn

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...
technologynetworks6mon

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Aobo Industrial Intelligence and Xinpobisi: Patent for Blast Furnace Charge Prediction Based on Linear Regression Boosts Steel Industry Smart Transformation

Nanjing Aobo Industrial Intelligent Technology Research Institute Co., Ltd. and Xinpobisi (Nanjing) Intelligent Technology Co., Ltd. have jointly obtained a patent titled "A Method for Predicting the ...
Search Engine Land5y

Here’s how I used Python to build a regression model using an e-commerce dataset

If you want to advance your data science skill set, Python can be a valuable tool for SEOs to generate deep data insights to help your brand. The programming language of Python is gaining popularity ...
JSTOR Daily1y

A Unifying Tool for Linear Multivariate Statistical Methods: The RV- Coefficient

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 25, No. 3 (1976), pp. 257-265 (9 pages) Consider two data matrices on the same sample of n individuals, X(p × n), Y(q × n) ...
JSTOR Daily3mon

Censored Regression: Local Linear Approximations and Their Applications

Various statistical tools are available for modeling the relationship between response and covariate if the data are fully observable. In the situation of censored data, however, those tools are no ...