Regression
analysis is a form of predictive modelling technique which investigates the
relationship between a dependent (target) and independent variable
(s) (predictor). This technique is used for
finding the relationship between the variables.
Example: Let’s say, you want to estimate
growth in sales of a company based on current economic conditions. You have the
recent company data which indicates that the growth in sales is around two
and a half times the growth in the economy. Using this insight, we can predict
future sales of the company based on current & past information.
It indicates the significant relationships between the dependent variable and independent variable. It indicates the strength of the impact of multiple independent variables on a dependent variable
Content
1. Terminologies related to regression analysis2. Linear regression 3. Logistic regression 4. Bias – Variance 5. Regularization 6. Performa
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Rohit Garg
Rohit Garg has close to 7 years of work experience in field of data analytics and machine learning. He has worked extensively in the areas of predictive modeling, time series analysis and segmentation techniques. Rohit holds BE from BITS Pilani and PGDM from IIM Raipur.
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