python data analysis tips anomaly dectection plot Seaborn lineplot scatterplot axhline

Publicado em: 01 Janeiro 1970
no canal de: Data Science Teacher Brandyn

652

In Python with Seaborn learn how to make an anomaly detection plot. In this example, we use the Google stock price movement in our anomaly detection plot in Seaborn. Stock prices are prone to high volatility and as a portfolio manager, it can be helpful having the ability to detect anomalous movements.

To make an anomaly detection plot we will we use several Seaborn plots together. In this we use 3 different types of plots. Seaborn's lineplot, Seaborn's scatterplot and matplotlib.pyplot's axhlineplot to make our anomaly detection plot.

Here we have set up our anomaly detection plot to highlight the Google Stock prices have a percentage change greater or less than 3 standard deviations from the mean.

With the flexibility of Seaborn we will also be can to change the color depending on if the outlier is a high or low side anomaly.

check out more data learning videos
https://www.datasimple.education/data...

One on one time with Data Science Teacher Brandyn
https://www.datasimple.education/one-...

data science teacher brandyn on facebook
  / datascienceteacherbrandyn
data science teacher brandyn on linkedin
  / admin

Showcase your DataArt linkedin
  / 1038628576726134
Showcase your DataArt facebook
  / 12736236

Python data analysis group, share your analysis
  / 1531938470572261

Machine learning in sklearn group
  / 575574217682061

Join the deep learning with tensorflow for more info
  / 369278408349330

Nesta página do site você pode assistir ao vídeo on-line python data analysis tips anomaly dectection plot Seaborn lineplot scatterplot axhline duração online em boa qualidade , que foi baixado pelo usuário Data Science Teacher Brandyn 01 Janeiro 1970, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 652 vezes e gostou 12 espectadores. Boa visualização!