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Analytics:

Consists of:

Study Data:

  1. Simple Graph for a input features using Pandas plot() and interpretations.
  2. Box plot and DBScan Clustering to find outliers.

Refer this notebook: Study_Input_Data.ipynb for more information refer: https://limitlessdatascience.wordpress.com/analytics/

Data imputing techniques

(coming soon)

Detailed analysis with Pandas functions for analysis: Pivot table, Group-by and merge, melt

(coming soon)

Co-relation between different input features

Refer this notebook: Correlation_between_features.ipynb for more information refer: https://limitlessdatascience.wordpress.com/analytics/

For more explaination please refer these articles:

  1. https://limitlessdatascience.wordpress.com/python-for-machine-learning/
  2. https://limitlessdatascience.wordpress.com/analytics/