Day 25 : Outliers

Topic: 

https://www.instagram.com/s/aGlnaGxpZ2h0OjE3ODU5NzIzMDEwODkwMTQx?igshid=1g93piee7vik&story_media_id=2335849878826852353_9670990202

Resources: 


1. https://machinelearningmastery.com/how-to-identify-outliers-in-your-data/

2. https://www.neuraldesigner.com/blog/3_methods_to_deal_with_outliers

3. https://www.analyticsvidhya.com/blog/2016/01/guide-data-exploration/

4. https://heartbeat.fritz.ai/how-to-make-your-machine-learning-models-robust-to-outliers-44d404067d07

5. https://towardsdatascience.com/ways-to-detect-and-remove-the-outliers-404d16608dba

6. https://machinelearningmastery.com/how-to-use-statistics-to-identify-outliers-in-data/

7. https://medium.com/@swethalakshmanan14/outlier-detection-and-treatment-a-beginners-guide-c44af0699754