Data Science


Dinesh Chandrasekaran
MS, Ecole Centrale de Lille,
ASQ-CSSBB, PMP, PMI-ACP,
SAFe® 4 Agilist (SA),
SAFe® 4 Practitioner (SP)

Home About Me Deep Learning Machine Learning Statistics


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Linear Regression using sklearn

25 Jan 2018 • Machine Learning • Statistics

This topic explains the basics of regression with a simple linear regression program and validating the output using the metrics.

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Understanding the categorical data using pie chart and bar chart

22 Jan 2018 • Machine Learning • Statistics

This topic explains the method to understand the categorical data using the pie chart and bar chart.

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Understanding the distribution of the continuous data using the histogram

14 Jan 2018 • Machine Learning • Statistics

This topic explains the method to identify the distribution of a continuous variable using the histogram.

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Removing the outliers using statistics

12 Jan 2018 • Machine Learning • Statistics

This topic explains the statistics method to remove the outliers in the given data.

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Detecting the outliers in the data using box plot

12 Jan 2018 • Machine Learning • Statistics

This topic explains the basics of a box plot and to detect the outliers of the given data visually using box plot.

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