This video is based on our article with the title 'New Approach for Regression Analysis' hosted on the Anylytics Vidhya website. The aim of this article is to obtain the best possible results for the analysis of real data points.
As everybody knows, the results of any data measurement can be misleading, because of the presents of outliers. But also:
- A low magnitude cause inaccurate measurements.
- The presence of measurement dips.
- The results can be influenced by data spikes.
- Unintentional site effects.
- Inaccurate measurement devices with too high deviations.
- and so on...
All these effects can have a massive influence on the accuracy of a measurement. Most of the effects cannot be resolved without going further but can be covered with the help of the built-in algorithms in SimplexNumerica. Please stay with me so that I can show you how simple it is to use these complicated algorithms in SimplexNumerica.
Please take a look at this article for more information:
[ Ссылка ]
![](https://i.ytimg.com/vi/iAjTsjVo0Ic/maxresdefault.jpg)