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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, 2019

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, 2019

- Company:
- Faurecia

- Job Title:
- Principle engineer

- Seniority:
- Technical

- Job Function:
- Data Science, Machine Learning, AI, Business Analytics, Deep Learning

- Industry:
- Automotive

- Short Bio:
- Working as product domain specialist

- Interests:
- Contributing, Networking, Finding a new position, New venture

Posted on July 23, 2019 at 5:30am 0 Comments 2 Likes

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…

ContinuePosted on March 29, 2019 at 8:30pm 0 Comments 2 Likes

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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