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Christian Schitton liked Suresh's blog post Logisitic Regression
Aug 15
Saravanan Thiagarajan liked Suresh's blog post Logisitic Regression
Jul 26
Suresh posted a blog post

Logisitic Regression

Logistic Regression is a statistical approach which is used for the classification problems. In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be combined to model several classes of events such as determining whether an image contains a cat, dog, lion, etc… Each object is detected in the image would be assigned a probability between 0 and 1 and the sum adding…See More
Jul 25
Suresh's blog post was featured

Logisitic Regression

Logistic Regression is a statistical approach which is used for the classification problems. In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be combined to model several classes of events such as determining whether an image contains a cat, dog, lion, etc… Each object is detected in the image would be assigned a probability between 0 and 1 and the sum adding…See More
Jul 25

Profile Information

Short Bio
Working as product domain specialist
Field of Expertise
Data Science, Machine Learning, AI, Business Analytics, Deep Learning
Professional Status
Technical
Years of Experience:
15
Your Company:
Faurecia
Industry:
Automotive
Your Job Title:
Principle engineer
How did you find out about DataScienceCentral?
Google
Interests:
Contributing, Networking, Finding a new position, New venture

Suresh's Blog

Logisitic Regression

Posted on July 23, 2019 at 5:30am 0 Comments

Logistic Regression is a statistical approach which is used for the classification problems. In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be combined to model several classes of events such as determining whether an image contains a cat, dog, lion, etc… Each object is detected in the image would be assigned a probability between 0 and 1 and the sum…

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The significance of Interaction Plots in Statistics

Posted on March 29, 2019 at 8:30pm 0 Comments

Interaction plots are used to understand the behavior of one variable depends on the value of another variable. Interaction effects are analyzed in regression analysis, DOE (Design of Experiments) and ANOVA (Analysis of variance).

This blog will help you to understand the interaction plots and its effects, how to interpret them in statistical designs, and the problems you will face if you don't include them in your statistical models. In any statistical study, whether it's a product…

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